Automatic Calibration of Performance Indicators for Performance Analysis in Software Development (S)

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Mushtaq Raza (Author) Other; João Pascoal Faria (Author) FEUP

Conference proceedings International

Title: Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE

Pages: 646-777

31st International Conference on Software Engineering and Knowledge Engineering, SEKE 2019

10 July 2019 through 12 July 2019

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00R-0FN

DOI: 10.18293/seke2019-188

Abstract (EN): ProcessPAIR is a novel method and tool for automating the performance analysis in software development. Based on performance models structured by process experts and calibrated from the performance data of many developers, it automatically identifies and ranks potential performance problems and root causes of individual developers. However, the current calibration method is not fully automatic, because, in the case of performance indicators that affect other indicators in a conflicting way, the process expert has to manually calibrate the optimal value in a way that balances those impacts. In this paper we propose a novel method to automate this step, taking advantage of training data sets. We demonstrate the feasibility of the method with an example related with the Code Review Rate indicator, with conflicting impacts on Productivity and Quality.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4