A model for analyzing performance problems and root causes in the personal software process

• Type: Article in International Scientific Journal
• Date: 2015

Authors

M. Raza (Author) FEUP; J. P. Faria (Author) FEUP

Journal

Title: Journal of Software: Evolution and Process

Vol. 28 No. 4

Pages: 254-271

ISSN: 2047-7481

Publisher: Wiley-Blackwell

Indexing

ISI Web of Science

Scopus

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

DOI: 10.1002/smr.1759

Abstract (EN): High-maturity software development processes, such as the Team Software Process and the accompanying Personal Software Process (PSP), can generate significant amounts of data that can be periodically analyzed to identify performance problems, determine their root causes, and devise improvement actions. However, there is a lack of tool support for automating that type of analysis, and hence diminish the manual effort and expert knowledge required. So, we propose in this paper a comprehensive performance model, addressing time estimation accuracy, quality, and productivity, to enable the automated (tool based) analysis of performance data produced by PSP developers, namely, identify and rank performance problems and their root causes. A PSP data set referring to more than 30 000 projects was used to validate and calibrate the model. Copyright © 2015 John Wiley & Sons, Ltd.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 18