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. The social responsibility of software development. IEEE Software, 34(2):4–6, March 2017.
      • Diomidis Spinellis. Software-engineering the internet of things. IEEE Software, 34(1):4–6, January 2017.
      • Diomidis Spinellis. A repository of Unix history and evolution. Empirical Software Engineering, 2017.
      • Tushar Sharma, Marios Fragkoulis, and Diomidis Spinellis. House of cards: code smells in open-source c# repositories. In ESEM 2017. 2017. To appear.
      • Dimitris Mitropoulos, Panos Louridas, Michalis Polychronakis, and Angelos D. Keromytis. Defending against Web application attacks: approaches, challenges and implications. IEEE Transactions on Dependable and Secure Computing, 2017. To appear.
      • Maria Kechagia and Diomidis Spinellis. Type checking for reliable APIs. In WAPI '17: 1st International Workshop on API Usage and Evolution. 2017. To appear.
      • Maria Kechagia, Tushar Sharma, and Diomidis Spinellis. Towards a context dependent Java exceptions hierarchy. In ICSE '17: Poster Track Session, 347–349. IEEE Press, 2017. URL: https://doi.org/10.1109/ICSE-C.2017.134, doi:10.1109/ICSE-C.2017.134.
      • Les Hatton, Diomidis Spinellis, and Michiel van Genuchten. The long-term growth rate of evolving software: empirical results and implications. Journal of Software: Evolution and Process, 2017.