A model for analyzing performance problems and root causes in the personal software process. Issue 4 (19th November 2015)

• Record Type: Journal Article
• Authors: Raza, M.; Faria, J. P.
• Other Names: Huang LiGuo guestEditor.; Zhang He guestEditor.; Richardson Ita guestEditor.
• Is Part Of: Journal of software. Volume 28:Issue 4(2016)
• Page Start: 254
• Page End: 271
• Publication Date: 2015-11-19
• Subjects: Personal Software Process -- performance analysis -- performance model; Software engineering -- Periodicals; Computer software -- Development -- Periodicals; Software maintenance -- Periodicals; 005.1
• DOI: 10.1002/smr.1759
• Languages: English
• ISSNs: 2047-7473

Abstract

Abstract: 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. Abstract : This paper proposed a comprehensive performance model, addressing time estimation accuracy, quality, and productivity, to enable the automated (tool based) analysis of performance data produced by Personal Software Process (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.