Business Analytics Lab

Welcome to the Business Analytics Laboratory, established at the Department of Management Science and Technology of the Athens University of Economics and Business, and headed by Diomidis Spinellis. Here we research, develop, and disseminate software, systems, methods, and practices associated with the following areas.

  • Software engineering and management science applications of business analytics
  • Business analytics software and systems
  • Data analytics approaches for IT security
  • Industrial adoption of business analytics applications and systems
  • Optimization methods in business analytics
  • Recent Publications

      • Diomidis Spinellis. Unit tests for SQL. IEEE Software, 41(1):22–26, January 2024. doi:10.1109/MS.2023.3328788.
      • Stefanos Chaliasos, Marcos Antonios Charalambous, Liyi Zhou, Rafaila Galanopoulou, Arthur Gervais, Dimitris Mitropoulos, and Ben Livshits. Smart contract and DeFi security tools: do they meet the needs of practitioners? In 45th International Conference on Software Engineering, ICSE '24. 2024. To appear.
      • Diomidis Spinellis. Open reproducible scientometric research with Alexandria3k. PLOS ONE, 18(11):e0294946, November 2023.
      • Diomidis Spinellis. Commands as AI conversations. IEEE Software, 40(6):22–26, November 2023.
      • Charalambos Mitropoulos, Thodoris Sotiropoulos, Sotiris Ioannidis, and Dimitris Mitropoulos. Syntax-aware mutation for testing the Solidity compiler. In 28th European Symposium on Research in Computer Security, ESORICS '23. September 2023.
      • Georgios Liargkovas, Konstantinos Kallas, Michael Greenberg, and Nikos Vasilakis. Executing shell scripts in the wrong order, correctly. In Proceedings of the 19th Workshop on Hot Topics in Operating Systems, HOTOS '23, 103–109. New York, NY, USA, 2023. Association for Computing Machinery.
      • Zoe Kotti, Georgios Gousios, and Diomidis Spinellis. Impact of software engineering research in practice: A patent and author survey analysis. IEEE Transactions on Software Engineering, 49(4):2020–2038, April 2023.
      • Zoe Kotti, Rafaila Galanopoulou, and Diomidis Spinellis. Machine learning for software engineering: A tertiary study. ACM Computing Surveys, 55(12):1–39, March 2023.
      • Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, and Marios Fragkoulis. Leveraging large language models for sequential recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems. Late-breaking Results Papers., RecSys '23, 1096–1102. 2023.
      • Christof Ebert and Panos Louridas. Generative AI for software practitioners. IEEE Software, 40(4):30–38, July 2023.
      • Stefanos Chaliasos, Marcos Antonios Charalambous, Liyi Zhou, Rafaila Galanopoulou, Arthur Gervais, Dimitris Mitropoulos, and Ben Livshits. Smart contract and DeFi security: insights from tool evaluations and practitioner surveys. In The Science of Blockchain Conference 2023, SBC '23. September 2023.