Publications

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2024

[129]. Anavankot, A. M., Cranefield, S., & Savarimuthu, B. T. R. (2024). NEMAS: Norm entrepreneurship in multi-agent systems. Systems, 12, 187. doi: 10.3390/systems12060187

[128]. Savarimuthu, B. T. R., & Corbett, J. (2024). Tackling energy poverty with artificial intelligence: Challenges and opportunities. Proceedings of the Americas Conference on Information Systems (AMCIS). 8, 1718. Retrieved from https://aisel.aisnet.org/amcis2024/sig_green/sig_green/8/

2023

[127]. Savarimuthu, B. T. R., Corbett, J., Yasir, M., & Lakshmi, V. (2023). Improving information systems sustainability by applying machine learning to detect and reduce data waste. Communications of the Association for Information Systems, 53, 189-213. doi: 10.17705/1CAIS.05308

[126]. Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2023). How are decisions made in open source software communities? Uncovering rationale from python email repositories. Journal of Software: Evolution & Process, 36, e2526. doi: 10.1002/smr.2526

[125]. Freitas dos Santos, T., Cranefield, S., Savarimuthu, B. T. R., Osman, N., & Schorlemmer, M. (2023). Cross-community Adapter Learning (CAL) to understand the evolving meanings of norm violation. In E. Elkind (Ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI ). (pp. 109-117). International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2023/13

[124]. Anavankot, A., Cranefield, S., & Savarimuthu, B. T. R. (2023). Towards norm entrepreneurship in agent societies. In P. Mathieu, F. Dignum, P. Novais & F. De la Prieta (Eds.), Advances in practical applications of agents, multi-agent systems, and cognitive mimetics, 21st International Conference, PAAMS 2023: Lecture notes in artificial intelligence (Vol. 13955). (pp. 188-199). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-031-37616-0_16

[123]. Savarimuthu, B. T. R., Zareen, Z., Cheriyan, J., Yasir, M., & Galster, M. (2023). Barriers for social inclusion in online software engineering communities: A study of offensive language use in Gitter projects. Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 217-222). New York, USA: ACM. doi: 10.1145/3593434.3593463

2022

[122]. Ajmeri, N., Martin, A. M., & Savarimuthu, B. T. R. (Eds.). (2022). Coordination, organizations, institutions, norms, and ethics (COINE) for governance of multi-agent systems XV: Revised selected papers: Lecture notes in artificial intelligence (Vol. 13549). Cham, Switzerland: Springer, 241p. doi: 10.1007/978-3-031-20845-4

[121]. Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2022). Unearthing open source decision-making processes: A case study of python enhancement proposals. Software: Practice & Experience, 52, 2312-2346. doi: 10.1002/spe.3128

[120]. Afshar Sedigh, A. H., Purvis, M., Savarimuthu, T. B. R., Frantz, C. K., & Purvis, M. (2022). A comparative study on apprenticeship systems using agent-based simulation. Journal of Artificial Societies & Social Simulation, 25(1), 1. doi: 10.18564/jasss.4733

[119]. Corbett, J., & Savarimuthu, B. T. R. (2022). From tweets to insights: A social media analysis of the emotion discourse of sustainable energy in the United States. Energy Research & Social Science, 89, 102515. doi: 10.1016/j.erss.2022.102515

[118]. Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Prioritizing user concerns in app reviews: A study of requests for new features, enhancements and bug fixes. Information & Software Technology, 144, 106798. doi: 10.1016/j.infsof.2021.106798

[117]. Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Automatically generating taxonomy for grouping app reviews: A study of three apps. Software Quality Journal, 30, 483-512. doi: 10.1007/s11219-021-09570-1

2021

[116]. Savarimuthu, B. T. R., Licorish, S. A., Devananda, M., Greenheld, G., Dignum, V., & Dignum, F. (2021). Developers’ responses to app review feedback: A study of communication norms in app development. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 57-75). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_4

[115]. Cheriyan, J., Savarimuthu, B. T. R., & Cranefield, S. (2021). Norm violation in online communities: A study of Stack Overflow comments. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 20-34). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_2

[114]. Afshar Sedigh, A. H., Purvis, M. K., Savarimuthu, B. T. R., Frantz, C. K., & Purvis, M. A. (2021). Impact of different belief facets on agents’ decision: A refined cognitive architecture to model the interaction between organisations’ institutional characteristics and agents’ behaviour. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 133-155). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_8

[113]. Alwash, M., Savarimuthu, B. T. R., & Parackal, M. (2021). Mining brand value propositions on Twitter: Exploring the link between marketer-generated content and eWOM outcomes. Social Network Analysis & Mining, 11, 83. doi: 10.1007/s13278-021-00790-8

[112]. Cranefield, S., & Savarimuthu, B. T. R. (2021). Normative multi-agent systems and human-robot interaction. Proceedings of the Ro-Man Workshop on Robot Behavior Adaptation to Human Social Norms (TSAR). Retrieved from https://tsar2021.ai.vub.ac.be

[111]. Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2021). Extracting rationale for Open Source Software Development decisions: A study of Python email archives. Proceedings of the IEE/ACM 43rd International Conference on Software Engineering (ICSE). (pp. 1008-1019). doi: 10.1109/ICSE43902.2021.00095

[110]. Cheriyan, J., Savarimuthu, B. T. R., & Cranefield, S. (2021). Towards offensive language detection and reduction in four Software Engineering communities. In R. Chitchyan, J. Li, B. Weber & T. Yue (Eds.), Proceedings of the Evaluation and Assessment in Software Engineering (EASE) Conference. (pp. 254-259). New York, NY: ACM. doi: 10.1145/3463274.3463805

[109]. Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2021). Influence of roles in decision-making during OSS development: A study of Python. In R. Chitchyan, J. Li, B. Weber & T. Yue (Eds.), Proceedings of the Evaluation and Assessment in Software Engineering (EASE) Conference. (pp. 50-59). New York, NY: ACM. doi: 10.1145/3463274.3463326

2020

[108]. Meldrum, S., Licorish, S. A., Owen, C. A., & Savarimuthu, B. T. R. (2020). Understanding stack overflow code quality: A recommendation of caution. Science of Computer Programming, 199, 102516. doi: 10.1016/j.scico.2020.102516

[107]. Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2020). Understanding requirements prioritisation: Literature survey and critical evaluation. IET Software, 14(6), 607-622. doi: 10.1049/iet-sen.2019.0215

[106]. Savarimuthu, B. T. R., Corbett, J., Yasir, M., & Lakshmi, V. (2020). Using machine learning to improve the sustainability of the online review market. Proceedings of the International Conference on Information Systems (ICIS): Making Digital Inclusive: Blending the Local and the Global. 167844. [Full Paper]

[105]. Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2020). Towards automated taxonomy generation for grouping app reviews: A preliminary empirical study. Proceedings of the International Conference on the Quality of Information and Communications Technology (QUATIC). (pp. 120-134). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-58793-2_10

[104]. Sharma, P., Savarimuthu, B. T. R., & Stanger, N. (2020). Mining decision-making processes in open source software development: A study of Python Enhancement Proposals (PEPs) using email repositories. Proceedings of the Evaluation and Assessment in Software Engineering (EASE). (pp. 200-209). ACM. doi: 10.1145/3383219.3383240

[103]. Corbett, J., Savarimuthu, B. T. R., & Lakshmi, V. (2020). Separating treasure from trash: Quantifying data waste in app reviews. Proceedings of the Americas’ Conference on Information Systems (AMCIS). Retrieved from https://aisel.aisnet.org/amcis2020/sig_green/sig_green/4

2019

[102]. Afshar Sedigh, A. H., Frantz, C. K., Savarimuthu, B. T. R., Purvis, M. K., & Purvis, M. A. (2019). A comparison of two historical trader societies: An agent-based simulation study of English East India Company and New-Julfa. In P. Davidsson & H. Verhagen (Eds.), Multi-agent-based simulation XIX: 19th International Workshop MABS 2018, revised selected papers: Lecture notes in artificial intelligence (Vol. 11463). (pp. 17-31). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-22270-3_2

[101]. Alwash, M., Savarimuthu, B. T. R., & Parackal, M. (2019). Shallow vs. deep customer engagement: A study of brand value propositions in Twitter. Proceedings of the 27th European Conference on Information Systems (ECIS). (pp. 1-12). Retrieved from https://aisel.aisnet.org/ecis2019_rp/96

2018

[100]. Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, T. B. R. (2018). Complementary-based coalition formation for energy microgrids. Computational Intelligence. doi: 10.1111/coin.12171

[99]. Yasir, M., Michael, K., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Formal in the informal: A multi-level analysis of core python developers’ tweets. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 151-160). IEEE. doi: 10.1109/ASWEC.2018.00028

[98]. Lotter, A., Licorish, S. A., Savarimuthu, B. T. R., & Meldrum, S. (2018). Code reuse in stack overflow and popular open source Java projects. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 141-150). IEEE. doi: 10.1109/ASWEC.2018.00027

[97]. Greenheld, G., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Automating developers’ responses to app reviews. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 66-70). IEEE. doi: 10.1109/ASWEC.2018.00017

[96]. Corbett, J., Savarimuthu, T., & Mohanna, M. (2018). Are electricity prosumers more engaged? An analysis of brand-follower engagement on twitter. Proceedings of the 24th Americas Conference on Information Systems (AMCIS): Digital Disruption. 139332. AIS.

2017

[95]. Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2017). Agent-based modelling of coalition formation in energy micro-grids. International Journal of Agent-Oriented Software Engineering, 5(4), 399-432. doi: 10.1504/IJAOSE.2017.087639

[94]. Meldrum, S., Savarimuthu, B. T. R., Licorish, S., Tahir, A., Bosu, M., & Jayakaran, P. (2017). Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media. Digital Health, 3. doi: 10.1177/2055207617698908

[93]. Keller, T., & Savarimuthu, B. T. R. (2017). Facilitating enhanced decision support using a social norms approach. Journal of Electronic Commerce in Organisations, 15(2), 1. doi: 10.4018/JECO.2017040101

[92]. Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2017). Boundary spanners in open source software development: A study of Python email archives. Proceedings of the 24th Asia-Pacific Software Engineering Conference (APSEC). (pp. 308-317). IEEE. doi: 10.1109/APSEC.2017.37

[91]. Meldrum, S., Licorish, S. A., & Savarimuthu, B. T. R. (2017). Crowdsourced knowledge on stack overflow: A systematic mapping study. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 180-185). New York, NY: ACM. doi: 10.1145/3084226.3084267

[90]. Sharma, P., Savarimuthu, B. T. R., Stanger, N., Licorish, S. A., & Rainer, A. (2017). Investigating developers’ email discussions during decision-making in Python language evolution. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 286-291). New York, NY: ACM. doi: 10.1145/3084226.3084271

[89]. Licorish, S. A., Savarimuthu, B. T. R., & Keertipati, S. (2017). Attributes that predict which features to fix: Lessons for App Store mining. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 108-117). New York, NY: ACM. doi: 10.1145/3084226.3084246

[88]. Su’a, T., Licorish, S. A., Savarimuthu, B. T. R., & Langlotz, T. (2017). QuickReview: A novel data-driven mobile user interface for reporting problematic app features. Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI). (pp. 517-522). New York, NY: ACM. doi: 10.1145/3025171.3025178

2016

[87]. Alwash, M., Savarimuthu, B. T. R., & Parackal, M. (2016). Identifying and classifying value propositions in brand tweets: A study of top 10 coffee brands. Proceedings of the Pacific Asia Conference on Information Systems (PACIS). 168. Retrieved from http://aisel.aisnet.org/pacis2016/168

[86]. Frantz, C. K., Savarimuthu, B. T. R., Purvis, M. K., & Nowostawski, M. (2016). Generalising social structure using interval type-2 fuzzy sets. In M. Baldoni, A. K. Chopra, T. C. Son, K. Hirayama & P. Torroni (Eds.), Principles and practice of multi-agent systems: Lecture notes in artificial intelligence (Vol. 9862). (pp. 344-354). Springer. doi: 10.1007/978-3-319-44832-9_22

[85]. Cranefield, S., Meneguzzi, F., Oren, N., & Savarimuthu, B. T. R. (2016). A Bayesian approach to norm identification. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, F. Dignum & F. van Harmelen (Eds.), Frontiers in Artificial Intelligence and Applications (Vol. 285): 22nd European Conference on Artificial Intelligence (ECAI). (pp. 622-629). Amsterdam, The Netherlands: IOS Press. doi: 10.3233/978-1-61499-672-9-622

[84]. Patel, P., Licorish, S., Savarimuthu, B. T. R., & MacDonell, S. (2016). Studying expectation violations in socio-technical systems: A case study of the mobile app community. Proceedings of the 24th European Conference on Information Systems (ECIS). 14. Retrieved from http://aisel.aisnet.org/ecis2016_rp/14

[83]. Savarimuthu, T., Dam, H. K., Licorish, S. A., Keertipati, S., Avery, D., & Ghose, A. K. (2016). Process compliance in open source software development: A study of Python Enhancement Proposals (PEPS). Proceedings of the 24th European Conference on Information Systems (ECIS). 48. Retrieved from http://aisel.aisnet.org/ecis2016_rp/48

[82]. Keller, T., & Savarimuthu, B. T. R. (2016). A social norms based approach for enhancing decision support in business process execution. In A. Bossard (Ed.), Proceedings of the 31st International Conference on Computers and Their Applications (CATA). (pp. 137-144). International Society for Computers and Their Applications.

[81]. Keertipati, S., Licorish, S., & Savarimuthu, B. T. R. (2016). Exploring decision-making processes in Python. Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (EASE). 43. New York: ACM. doi: 10.1145/2915970.2915993

[80]. Avery, D., Dam, H. K., Savarimuthu, B. T. R., & Ghose, A. (2016). Externalization of software behavior by the mining of norms. Proceedings of the 13th International Conference on Mining Software Repositories (MSR). (pp. 223-234). New York: ACM. doi: 10.1145/2901739.2901744

[79]. Keertipati, S., Savarimuthu, B. T. R., & Licorish, S. A. (2016). Approaches for prioritizing feature improvements extracted from app reviews. Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (EASE). 33. New York: ACM. doi: 10.1145/2915970.2916003

[78]. Keller, T., & Savarimuthu, B. T. R. (2016). Optimizing decision support in business process management using obligation and prohibition norms. In M. B. Nunes, P. Isaías & P. Powell (Eds.), Proceedings of the 9th International Association for Development of the Information Society (IADIS) International Conference Information Systems. (pp. 63-70). [Full Paper]

[77]. Lee, C. W., Licorish, S. A., Savarimuthu, B. T. R., & MacDonell, S. G. (2016). Augmenting text mining approaches with social network analysis to understand the complex relationships among users’ requests: A case study of the android operating system. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS). (pp. 1144-1153). IEEE. doi: 10.1109/HICSS.2016.145

2015

[76]. Cranefield, S., Savarimuthu, T., Meneguzzi, F., & Oren, N. (2015). A Bayesian approach to norm identification [Extended abstract]. In R. H. Bordini, E. Elkind, G. Weiss & P. Yolum (Eds.), Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). (pp. 1743-1744). Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems. [Abstract]

[75]. Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Dynamic coalition formation in energy micro-grids. In Q. Chen, P. Torroni, S. Villata, J. Hsu & A. Omicini (Eds.), PRIMA 2015: Principles and practice of multi-agent systems: Lecture notes in artificial intelligence (Vol. 9387). (pp. 152-168). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25524-8_10

[74]. Farhangian, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2015). Modeling the effects of personality on team formation in self-assembly teams. In Q. Chen, P. Torroni, S. Villata, J. Hsu & A. Omicini (Eds.), PRIMA 2015: Principles and practice of multi-agent systems: Lecture notes in artificial intelligence (Vol. 9387). (pp. 538-546). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25524-8_36

[73]. Licorish, S. A., Lee, C. W., Savarimuthu, B. T. R., Patel, P., & MacDonell, S. G. (2015). They’ll know it when they see it: Analyzing post-release feedback from the android community. Proceedings of the 21st Americas Conference on Information Systems (AMCIS). Retrieved from http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1407&context=amcis2015

[72]. Dam, H. K., Savarimuthu, B. T. R., Avery, D., & Ghose, A. (2015). Mining software repositories for social norms. Proceedings of the 37th International Conference on Software Engineering (ICSE) (Vol. 2). (pp. 627-630). IEEE. doi: 10.1109/ICSE.2015.209

[71]. Keller, T., & Savarimuthu, B. T. R. (2015). The Folly Guard: A personal and social communication protection system. In P. Kommers & P. Isaias (Eds.), Proceedings of the 13th e-Society International Conference. (pp. 233-238). IADIS Press. [Full Paper]

[70]. Yasir, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2015). Agent-based community coordination of local energy distribution. AI & Society, 30(3), 379-391. DOI

[69]. Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). An agent-based simulation for restricting exploitation in electronic societies through social mechanisms. AI & Society, 30(3), 345-358. DOI

[68]. Frantz, C. K., Purvis, M. K., Savarimuthu, B. T. R., & Nowostawski, M. (2015). Modelling dynamic normative understanding in agent societies. Scalable Computing, 16(4), 355-378. doi: 10.12694/scpe.v16i4.1128

[67]. Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Agent-based modeling of resource allocation in software projects based on personality and skill. In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 130-146). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_9

[66]. Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R., The effects of temperament and team formation mechanism on collaborative learning of knowledge and skill in short-term projects., In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 48-65). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_4

2014

[65]. Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R., Improving energy outcomes in dynamically formed micro-grid coalitions., In A. Ghose, N. Oren, P. Telang, & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X (COIN): Lecture notes in artificial intelligence (Vol. 9372). (pp. 251-267). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16, 2014.

[64]. Frantz, C., Purvis, M., Savarimuthu, B. T. R., & Nowostawski, M., Modelling the impact of role specialisation on cooperative behaviour in historic trader scenarios., In A. Ghose, N. Oren, P. Telang, & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems (COIN): Lecture notes in artificial intelligence (Vol. 9372). (pp. 53-71). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16, 2014.

[63]. Keertipati, S., Savarimuthu, B. T. R., Purvis, M., & Purvis, M. (2014). Multi-level analysis of peace and conflict data in GDELT., In A. Rahman, J. Deng & J. Li (Eds.), Proceedings of the 2nd Workshop on Machine Learning for Sensory Data Analysis (MLSDA), (pp. 33-40). New York: ACM. doi: 10.1145/2689746.2689750.

[62]. Keertipati, S., Savarimuthu, B. T. R., & Purvis, M. A., Towards convention propagation in multi-layer social networks., In H. K. Dam, J. Pitt, Y. Xu, G. Governatori & T. Ito (Eds.), Principles and practice of multi-agent systems (PRIMA): Lecture notes in artificial intelligence (Vol. 8861), pp. 57-64. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-13191-7, 2014.

[61]. Frantz, C. K., Purvis, M. K., Savarimuthu, B. T. R., & Nowostawski, M., Modelling dynamic normative understanding in agent societies., In H. K. Dam, J. Pitt, Y. Xu, G. Governatori & T. Ito (Eds.), Principles and practice of multi-agent systems (PRIMA): Lecture notes in artificial intelligence (Vol. 8861), pp. 294-310. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-13191-7_24, 2014.

[60]. Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R., Analysing the dynamics of norm evolution using interval type-2 fuzzy sets. Proceedings of the IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)., pp. 230-237. IEEE. doi: 10.1109/WI-IAT.2014.172.

[59]. Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R., Analysing the apprenticeship system in the Maghribi Traders Coalition.. In F. Grimaldo & E. Norling (Eds.), Multi-agent-based simulation XV (MABS): Lecture notes in artificial intelligence (Vol. 9002). (pp. 180-196). Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-14627-0_13, 2014.

[58]. Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2014). An intelligent learning mechanism for trading strategies for local energy distribution. In S. Ceppi, E. David, V. Podobnik, V. Robu, O. Shehory, S. Stein & I. A. Vetsikas (Eds.), Agent-mediated electronic commerce: Designing trading strategies and mechanisms for electronic markets (LNBIP 187). (pp. 159-170). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-13218-1_12, 2014.

[57]. Farhangian, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2014). Modelling the effects of personality and temperament in small teams. In T. Balke, F. Dignum, M. Birna van Riemsdijk, & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX (COIN): Lecture notes in artificial intelligence (Vol. 8386). (pp. 25-41). Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-07314-9_2, 2014.

[56]. Lopez, B., Ghose, A., Savarimuthu, B. T. R., Nowostawski, M., Winikoff, M., & Cranefield, S., Towards energy-aware optimisation of business processes. In M. Helfert, K.-H. Krempels, & B. Donnellan (Eds.), Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems (Smartgreens), (pp. 68-75). SciTePress, 2014.

[55]. Arulanandam, R., Savarimuthu, B.T.R and Purvis, M.A., Extracting Crime Information from Online Newspaper Articles., Proc. of the Second Australasian Web Conference (AWC 2014), January 2014, Auckland, New Zealand. Conferences in Research and Practice in Information Technology, Vol.155, pp. 31-38, 2014.

2013

[54]. Andrighetto, G., Cranefield, S., Conte, R., Purvis, M.K., Purvis, M.A., Savarimuthu, B.T.R. & Villatoro, D., (Social) Norms and Agent-Based Simulation., Agreement Technologies, pp. 181-189. Springer Netherlands, 2013.

[53]. Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R., Gossip-Based Self-Organising Agent Societies and the Impact of False Gossip., Minds and Machines 23(4): 419-441, 2013.

[52]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M.A. and Purvis, M.K., Identifying prohibition norms in agent societies, Artificial Intelligence and Law, Issue 21, Volume 1, pp. 1-46, 2013.

[51]. Ghose, A., & Savarimuthu, B.T.R., Norms as objectives: Revisiting compliance management in multi-agent systems., In Coordination, organizations, institutions, and norms in agent systems VIII: Lecture notes in artificial intelligence (Vol. 7756). (pp. 105-122). Berlin, Germany: Springer. 2013.

[50]. Savarimuthu, B. T. R., Padget, J., & Purvis, M. A., Social norm recommendation for virtual agent societies., In International Conference on Principles and Practice of Multi-Agent Systems (pp. 308-323). Springer, Berlin, Heidelberg, 2013.

[49].Singh, M.P., Arrott, M., Balke, B., Chopra, A.K., Christiaanse, R., Cranefield, S., Dignum, F., Eynard, D., Farcas, E., Fornara, N., Gandon, F., Governatori, G., Dam, H.K., Hulstijn, J., Krüger, I., Lam, H., Meisinger, M., Noriega, P., Savarimuthu, B.T.R., Tadanki, K., Verhagen, H., & Villata, S., The Uses of Norms., In Normative Multi-Agent Systems, 191-229, 2013.

[48].Balke, T., Cranefield, S., di Tosto, G., Mahmoud, S., Paolucci, M., Savarimuthu, B.T.R. & Verhagen, H., Simulation and NorMAS., In Normative Multi-Agent Systems, 171-189, 2013.

[47].Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R., Gossip-Based Self-Organising Agent Societies and the Impact of False Gossip. Minds and Machines 23(4): 419-441, 2013.

2012

[46]. Savarimuthu, B.T.R., Lê, L. & Ghose, A., From Green Norms to Policies - Combining Bottom-Up and Top-Down Approaches. In Proc. Principles and Practices in Multi-Agent Systems (PRIMA 2012), pp. 168-183, Kuching, Malaysia, August 2012.

[45]. Lopez, B., Ghose, A., Savarimuthu, B. T. R., Nowostawski, M., Winikoff, M., & Cranefield, S., Energy-aware optimisation of business processes., 2012

2011

[44]. Savarimuthu, B.T.R. and Cranefield, S., Norm creation, spreading and emergence: A survey of simulation models of norms in multi-agent systems., Multiagent and Grid Systems, 7(1), pp.21-54, 2011.

[43]. Savarimuthu, B.T.R., Arulanandam, R. and Purvis, M., Aspects of active norm learning and the effect of lying on norm emergence in agent societies., In International Conference on Principles and Practice of Multi-Agent Systems (pp. 36-50). Springer, Berlin, Heidelberg, 2011.

[42]. Savarimuthu, B.T.R., Norm learning in multi-agent societies, In the Information Science Discussion Paper Series, number 2011/05, ISSN 1177-455X, 10 pages, 2011.

[41].Savarimuthu, B.T.R., 2011. Mechanisms for norm emergence and norm identification in multi-agent societies, Doctoral dissertation, University of Otago, 2011.

[40]. Savarimuthu, B.T.R., Arulanandam, R. and Savarimuthu, S., Emergence of a sharing norm in a simulated hunter-gatherer society., In 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (Vol. 2, pp. 34-37). IEEE, 2011.

[39]. Savarimuthu, B.T.R., Purvis, M. and Verhagen, H., An agent-based simulation of employing social norms in energy conservation in households., In International Conference on Principles and Practice of Multi-Agent Systems (pp. 16-31). Springer, Berlin, Heidelberg, 2011.

2010

[38]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M.A. and Purvis, M.K., 2010. Norm identification in multi-agent societies., In the Information Science Discussion Paper Series, number 2010/03, ISSN 1177-455X, 34 pages, 2010.

[37].Savarimuthu, B.T.R., Cranefield, S., Purvis, M.A. and Purvis, M.K., Obligation norm identification in agent societies., Journal of Artificial Societies and Social Simulation, 13(4), 16 pages, 2010.

[36]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M. and Purvis, M., A data mining approach to identify obligation norms in agent societies., In International Workshop on Agents and Data Mining Interaction, pp. 43-58). Springer, Berlin, Heidelberg, 2010.

[35]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M.A. and Purvis, M.K., Identifying conditional norms in multi-agent societies., In International Workshop on Coordination, Organizations, Institutions, and Norms in Agent Systems, pp. 285-302. Springer, Berlin, Heidelberg, 2010.

[34]. Savarimuthu, S., Purvis, M., Purvis, M. and Savarimuthu, B.T.R., 2010, May. Mechanisms for the self-organization of peer groups in agent societies., In International Workshop on Multi-Agent Systems and Agent-Based Simulation, pp. 93-107. Springer, Berlin, Heidelberg, 2010.

[33]. Savarimuthu, S., Purvis, M., Savarimuthu, B.T.R. and Purvis, M., Gossip-based self-organising open agent societies., In International Conference on Principles and Practice of Multi-Agent Systems, pp. 105-120. Springer, Berlin, Heidelberg, 2010.

2009

[32]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M.K. and Purvis, M.A., Norm emergence in agent societies formed by dynamically changing networks., Web Intelligence and Agent Systems: An International Journal, 7(3), pp.223-232, 2009.

[31]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M.A. and Purvis, M.K., Internal agent architecture for norm identification., In International Workshop on Coordination, Organizations, Institutions, and Norms in Agent Systems (pp. 241-256). Springer, Berlin, Heidelberg, 2009.

[30]. Savarimuthu, B.T.R. and Cranefield, S., A categorization of simulation works on norms. In Dagstuhl seminar proceedings., Schloss Dagstuhl-Leibniz-Zentrum für Informatik. 2009.

[29]. Savarimuthu, B.T.R., Purvis, M., Purvis, M. and Cranefield, S., 2008, May. Social norm emergence in virtual agent societies, In: Proc. of the international Workshop on Declarative Agent Languages and Technologies, DALT, pp. 18-28. Springer, Berlin, Heidelberg, 2009.

[28]. Savarimuthu, B.T.R.,Purvis, M.A., & Purvis, M.K., Social norm emergence in virtual agent societies., In Proc. of the 7th international joint conference on Autonomous agents and multiagent systems, pp. 1521–1524, 2009.

2008

[27]. Purvis, M.A., Ebadi, T. and Savarimuthu, B.T.R. An Agent-Based Library Management System Using RFID Technology, In: D. Krol and N. T. Nguyen (Eds.), Intelligence Integration in Distributed Knowledge Management, Information Science Reference, Hershey, USA, pp. 171-181, 2008.

[26]. Savarimuthu, B.T.R., Purvis, M.A. and Cranefield, S. Norm emergence in multi-agent societies, In: D. Krol and N. T. Nguyen (Eds.), Intelligence Integration in Distributed Knowledge Management, Information Science Reference, Hershey, USA, pp. 195-206, 2008.

[25]. Purvis, M. and Savarimuthu, B.T.R., Proceedings of the first international conference on Computer-mediated social networking (ICCMSN)., 2008.

[24]. Alaali, A., & Savarimuthu, B. T. R., Vector Opinion Dynamics: An extended model for consensus in social networks., In: Proc of the International Conference on Web Intelligence and Intelligent Agent Technology, Vol. 3, pp. 394-397, 2008.

2007

[23]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M. and Purvis, M., Mechanisms for norm emergence in multiagent societies., In: Proc of the 6th international joint conference on Autonomous agents and multiagent systems, pp. 1104-1106, 2007.

[22]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M. and Purvis, M., Role model based mechanism for norm emergence in artificial agent societies., In: Proc. of the International Workshop on Coordination, Organizations, Institutions, and Norms in Agent Systems (pp. 203-217). Springer, Berlin, Heidelberg, pp. 203-217, 2007.

[21]. Deng, X., Foukia, N. and Savarimuthu, B.T.R., Building privacy infrastructure for culturally sensitive information of New Zealand Maori., In: Proc. of the workshop of HP Software University Association (HP-SUA), pp. 265-270, 2007.

[20]. Savarimuthu, B.T.R., Cranefield, S., Purvis, M. and Purvis, M.A., How do norms emerge in multi-agent societies? Mechanisms design., Information Science discussion papers, https://ourarchive.otago.ac.nz/handle/10523/907, 2006.

2006

[19]. Foukia, N., Savarimuthu, B.T.R., Purvis, M.A. and Han, Y., Trust and Security Enhancements in an Agent-based Workflow Management System., Proc. of the First International Workshop on Privacy and Security in Agent-based Collaborative Environments (PSACE), Hakodate, Japan, 9th May, pp. 128-136, 2006.

[18]. Purvis, M., Savarimuthu, B.T.R. and Purvis, M.K., 2006. Architecture for active and collaborative learning in a distributed classroom environment., Advanced Technology for Learning, 3(4), pp.225-232, 2006.

[17]. Savarimuthu, B.T.R., Purvis, M. and Purvis, M.A. Agent based web service composition in the context of a supply-chain based workflow., In: Proc. of the First International Workshop on Coordination of Inter-Organizational Workflow: Agent and Semantic Web based Models (CIOW), Hakodate, Japan, 8th May, pp. 27-34, 2006.

[16]. Savarimuthu B.T.R., Purvis, M.A. and Purvis, M.K. Creating ontologies for a collaborative, multi-agent based workflow system, In: R. Katarzyniak (ed.), Ontologies and Soft Methods in Knowledge Management, Advanced Knowledge International, Adelaide, Australia, Vol 4, ISBN 0-9752150-2-7, pp. 201-218, 2006.

[15]. Ehrler, L., Fleurke, M., Purvis, M. and Savarimuthu, B.T.R., 2006. Agent-based workflow management systems (WfMSs), Information Systems and E-Business Management, 4(1), pp.5-23.

[14]. Purvis, M., Purvis, M. and Savarimuthu, B.T.R., 2006, May. Facilitating collaboration in a distributed software development environment using p2p architecture, In International Workshop on Agents and P2P Computing (pp. 167-174). Springer, Berlin, Heidelberg.

2005

[13]. Savarimuthu, B.T.R., Purvis, M., Purvis, M. and Cranefield, S., 2005, July. Agent-based integration of web services with workflow management systems, In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 1345-1346).

[12]. Savarimuthu, B.T.R., Purvis, M., Purvis, M. (2005). Different Perspectives on Modeling Workflows in an Agent Based Workflow Management System, In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_30

[11]. Savarimuthu, B.T.R., Purvis, M., Purvis, M., Cranefield, S. (2005). An Agent-Enhanced Workflow Management System, In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_31

[10]. Purvis, M., Purvis, M., Savarimuthu, B.T.R., George, M., Cranefield, S. (2005). Experiences with Pair and Tri Programming in a Second Level Course, In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_96

[9]. Savarimuthu, B.T.R., Purvis, M., Purvis, M. and Cranefield, S., 2005, September. Integrating Web services with agent based workflow management system (WfMS), In 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI’05) (pp. 471-474). IEEE. DOI: 10.1109/WI.2005.81

2004

[8]. M Purvis, BTR Savarimuthu, M Purvis, A multi-agent based workflow system embedded with web services, Second international workshop on Collaboration Agents: Autonomous Agents for Collaborative Environments (COLA 2004), pp. 55-62

[7]. M Purvis, M Purvis, A Haidar, BTR Savarimuthu, A Distributed Workflow System with Autonomous Components, 7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004, Auckland, New Zealand, August 8-13, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3371, Springer 2005, ISBN 3-540-25340-8, pp. 193 - 205

[6]. M Purvis, BTR Savarimuthu, M Purvis, Evaluation of a multi-agent based workflow management system modeled using Coloured Petri Nets, 7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004, Auckland, New Zealand, August 8-13, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3371, Springer 2005, ISBN 3-540-25340-8, pp. 206 - 216

[5]. BTR Savarimuthu, M Purvis, A collaborative multi-agent based workflow system. Knowledge-Based Intelligent Information and Engineering Systems, 8th International Conference, KES2004, Wellington, New Zealand, September, pp. 1187-1193

[4]. BTR Savarimuthu, MK Purvis, M De Oliveira, M Purvis, Towards secure interaction in agent societies. Second Annual Conference on Privacy, Security and Trust (PST), October 13-15, 2004, Wu Centre, University of New Brunswick, Fredericton, New Brunswick, Canada, pp. 143-148

[3]. BTR Savarimuthu, M Purvis, Towards a multi-lingual workflow system: a practical outlook. Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32, pp. 205-210

[2]. BTR Savarimuthu, M Purvis, M Fleurke, Monitoring and controlling of a multi-agent based workflow system. Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32, pp. 127-132

2001

[1]. Venkatasubramanian, K., Bastin Tony Roy, S. and Dasari, M.V., 2001. Teaching and using PSP in a software engineering course: an experience report. In Software Engineering Education and Training Annual Conference.