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

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Raza, M (Autor) Outra; João Pascoal Faria (Autor) FEUP; Salazar, R (Autor) Outra; Mushtaq Raza (Autor) Outra; Rafael Salazar (Autor) Outra

Ata de Conferência Internacional

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

Páginas: 241-243

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

20 May 2017 through 28 May 2017

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: 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).

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 3