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, Panos Louridas, and Maria Kechagia. Software evolution: the lifetime of fine-grained elements. PeerJ Computer Science, 7:e372, February 2021.
      • Diomidis Spinellis. Why computing students should contribute to open source software projects. Communications of the ACM, 64(7):36–38, July 2021.
      • Thodoris Sotiropoulos, Stefanos Chaliasos, Vaggelis Atlidakis, Dimitris Mitropoulos, and Diomidis Spinellis. Data-oriented differential testing of object-relational mapping systems. In 43rd International Conference on Software Engineering, ICSE '21. May 2021. Distinguished Artifact Award.
      • Pedro F. Silvestre, Marios Fragkoulis, Diomidis Spinellis, and Asterios Katsifodimos. Clonos: consistent causal recovery for highly-available streaming dataflows. In Proceedings of the 2021 International Conference on Management of Data, SIGMOD/PODS '21, 1637–1650. New York, NY, USA, 2021. Association for Computing Machinery.
      • Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, and Diomidis Spinellis. Code smell detection by deep direct-learning and transfer-learning. Journal of Systems and Software, 176:110936, 2021.
      • Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas, Diomidis Spinellis, and Dimitris Mitropoulos. PyCG: practical call graph construction in Python. In 43rd International Conference on Software Engineering, ICSE '21. May 2021.
      • Georgios Nikitopoulos, Konstantina Dritsa, Panos Louridas, and Dimitris Mitropoulos. CrossVul: a cross-language vulnerability dataset with commit data. In 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering: Demonstrations Track, ESEC/FSE '21. August 2021. To appear.
      • Dimitris Mitropoulos, Theodosios Tsaklanos, and Diomidis Spinellis. Secure software technologies. In Sokratis Katsikas, Stefanos Gritzalis, and Konstantinos Lambrinoudakis, editors, Information and System Security in the Cyberspace. NewTech Pub, 2021.
      • Panos Louridas and Diomidis Spinellis. Conspicuous corruption: evidence at a country level. PLOS ONE, 16(9):e0255970, September 2021.
      • Stefanos Georgiou. Energy and Run-Time Performance Practices in Software Engineering. PhD thesis, Athens University of Economics and Business, Athens, Greece, February 2021.
      • Rafaila Galanopoulou and Diomidis Spinellis. A dataset of open-source safety-critical software. In Elisabetta Di Nitto and Pierluigi Plebani, editors, Proceedings of the First SWForum Workshop on Trustworthy Software and Open Source, TSOS '21. March 2021. CEUR Workshop Proceedings, volume 2878.
      • Stefanos Chaliasos, Thodoris Sotiropoulos, Georgios-Petros Drosos, Charalambos Mitropoulos, Dimitris Mitropoulos, and Diomidis Spinellis. Well-typed programs can go wrong: a study of typing-related bugs in JVM compilers. In Proceedings of the ACM on Programming Languages, OOPSLA '21. ACM, October 2021.
      • Diomidis Spinellis, Georgios Gousios, Marsha Chechik, and Massimiliano Di Penta, editors. ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, New York, NY, USA, 2021. Association for Computing Machinery.