University of Oulu

López, L., Burgués, X., Martínez-Fernández, S., Vollmer, A. M., Behutiye, W., Karhapää, P., Franch, X., Rodríguez, P., & Oivo, M. (2022). Quality measurement in agile and rapid software development: A systematic mapping. Journal of Systems and Software, 186, 111187. https://doi.org/10.1016/j.jss.2021.111187

Quality measurement in agile and rapid software development : a systematic mapping

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Author: López, Lidia1,2; Burgués, Xavier1; Martínez-Fernández, Silverio1;
Organizations: 1Universitat Politècnica de Catalunya, Spain
2Barcelona Supercomputing Center, Spain
3Fraunhofer Institute for Experimental Software Engineering, Germany
4University of Oulu, Finland
5Universidad Politécnica de Madrid, Spain
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 4.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022060844076
Language: English
Published: Elsevier, 2022
Publish Date: 2022-08-15
Description:

Abstract

Context: In despite of agile and rapid software development (ARSD) being researched and applied extensively, managing quality requirements (QRs) are still challenging. As ARSD processes produce a large amount of data, measurement has become a strategy to facilitate QR management.

Objective: This study aims to survey the literature related to QR management through metrics in ARSD, focusing on: bibliometrics, QR metrics, and quality-related indicators used in quality management.

Methods: The study design includes the definition of research questions, selection criteria, and snowballing as search strategy.

Results: We selected 61 primary studies (2001–2019). Despite a large body of knowledge and standards, there is no consensus regarding QR measurement. Terminology is varying as are the measuring models. However, seemingly different measurement models do contain similarities.

Conclusions: The industrial relevance of the primary studies shows that practitioners have a need to improve quality measurement. Our collection of measures and data sources can serve as a starting point for practitioners to include quality measurement into their decision-making processes. Researchers could benefit from the identified similarities to start building a common framework for quality measurement. In addition, this could help researchers identify what quality aspects need more focus, e.g., security and usability that have surprisingly few metrics reported.

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Series: Journal of systems and software
ISSN: 0164-1212
ISSN-E: 1873-1228
ISSN-L: 0164-1212
Volume: 186
Article number: 111187
DOI: 10.1016/j.jss.2021.111187
OADOI: https://oadoi.org/10.1016/j.jss.2021.111187
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work has been funded by the European Union’s Horizon 2020 research and innovation program through the Q-Rapids project (grant no. 732253). This research was also partially supported by the Spanish Ministerio de Economía, Industria y Competitividad through the DOGO4ML project (grant PID2020-117191RB-I00). Silverio Martínez-Fernández worked in Fraunhofer IESE before January 2020.
EU Grant Number: (732253) Q-RAPIDS - Quality-Aware Rapid Software Development
Copyright information: © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
  https://creativecommons.org/licenses/by-nc-nd/4.0/