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
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Publish Date: | 2022-08-15 |
Description: |
AbstractContext: 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. see all
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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.
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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/ |