Helping Software Engineering Students Analyzing their Performance Data Tool Support in an Educational Environment

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Raza, M (Author) Other; João Pascoal Faria (Author) FEUP; Salazar, R (Author) Other; Mushtaq Raza (Author) Other; Rafael Salazar (Author) Other

Conference proceedings International

Title: Proceedings of the 39th International Conference on Software Engineering, ICSE 2017, Buenos Aires, Argentina, May 20-28, 2017 - Companion Volume

Pages: 241-243

39th IEEE/ACM International Conference on Software Engineering Companion, ICSE-C 2017

20 May 2017 through 28 May 2017

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 4 Citations

Other information

Authenticus ID: P-00M-T5D

DOI: 10.1109/icse-c.2017.61

Abstract (EN): ProcessPAIR is a novel tool for automating the performance analysis of software developers. Based on a performance model calibrated from the performance data of many developers, it automatically identifies and ranks potential performance problems and root causes of individual developers. We present the results of a controlled experiment involving 61 software engineering master students, half of whom used ProcessPAIR in a performance analysis assignment. The results show significant benefits in terms of students' satisfaction (average score of 4.78 out of 5 for ProcessPAIR users, against 3.81 for other users), quality of the analysis outcomes (average grades achieved of 88.1 out of 100 for ProcessPAIR users, against 82.5 for other users), and time required to do the analysis (average of 252 min for ProcessPAIR users, against 262 min for other users, but with much room for improvement).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 3