A systematic mapping study of quality assessment models for software products

Meng Yan; Xin Xia; Xiaohong Zhang; Ling Xu; Dan Yang

doi:10.1109/SATE.2017.16

A systematic mapping study of quality assessment models for software products

Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

7 Citations (Scopus)

Abstract

Quality model is regarded as a well-accepted approach for assessing, managing and improving software product quality. There are three categories of quality models for software products, i.e., definition model, assessment model, and prediction model. Quality assessment model (QAM) is a metric-based approach to assess the software quality. It is typically regarded as of high importance for its clear method on how to assess a system. However, the current state-of-the-art in QAM research is under limited investigation. To address this gap, the paper provides an organized and synthesized summary of the current QAMs. In detail, we conduct a systematic mapping study (SMS) for structuring the relevant articles. We obtain a total of 716 papers from the five databases, and 31 papers are selected as relevant studies at last. In summary, our work focuses on QAMs from the following aspects: software metrics, quality factors, evaluation methods and tool support.

Original language	English
Title of host publication	Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017
Subtitle of host publication	3–4 November 2017 Harbin, Heilongjiang, China
Editors	Wei Dong, Xiaoyuan Xie
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	63-71
Number of pages	9
ISBN (Electronic)	9781538636879
ISBN (Print)	9781538636886
DOIs	https://doi.org/10.1109/SATE.2017.16
Publication status	Published - 2017
Externally published	Yes
Event	International Conference on Software Analysis, Testing and Evolution 2017 - Harbin, Heilongjiang, China Duration: 3 Nov 2017 → 4 Nov 2017 http://cstar.whu.edu.cn/sate17/index_en.html

Conference

Conference	International Conference on Software Analysis, Testing and Evolution 2017
Abbreviated title	SATE 2017
Country	China
City	Harbin, Heilongjiang
Period	3/11/17 → 4/11/17
Internet address	http://cstar.whu.edu.cn/sate17/index_en.html

Keywords

Quality assessment model
Software quality
Systematic mapping study

Access to Document

10.1109/SATE.2017.16

Link to publication in Scopus

Cite this

Yan, M., Xia, X., Zhang, X., Xu, L., & Yang, D. (2017). A systematic mapping study of quality assessment models for software products. In W. Dong, & X. Xie (Eds.), Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017: 3–4 November 2017 Harbin, Heilongjiang, China (pp. 63-71). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SATE.2017.16

Yan, Meng ; Xia, Xin ; Zhang, Xiaohong ; Xu, Ling ; Yang, Dan. / A systematic mapping study of quality assessment models for software products. Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017: 3–4 November 2017 Harbin, Heilongjiang, China. editor / Wei Dong ; Xiaoyuan Xie. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 63-71

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title = "A systematic mapping study of quality assessment models for software products",

abstract = "Quality model is regarded as a well-accepted approach for assessing, managing and improving software product quality. There are three categories of quality models for software products, i.e., definition model, assessment model, and prediction model. Quality assessment model (QAM) is a metric-based approach to assess the software quality. It is typically regarded as of high importance for its clear method on how to assess a system. However, the current state-of-the-art in QAM research is under limited investigation. To address this gap, the paper provides an organized and synthesized summary of the current QAMs. In detail, we conduct a systematic mapping study (SMS) for structuring the relevant articles. We obtain a total of 716 papers from the five databases, and 31 papers are selected as relevant studies at last. In summary, our work focuses on QAMs from the following aspects: software metrics, quality factors, evaluation methods and tool support.",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Yan, M, Xia, X, Zhang, X, Xu, L & Yang, D 2017, A systematic mapping study of quality assessment models for software products. in W Dong & X Xie (eds), Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017: 3–4 November 2017 Harbin, Heilongjiang, China. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 63-71, International Conference on Software Analysis, Testing and Evolution 2017, Harbin, Heilongjiang, China, 3/11/17. https://doi.org/10.1109/SATE.2017.16

A systematic mapping study of quality assessment models for software products. / Yan, Meng; Xia, Xin; Zhang, Xiaohong; Xu, Ling; Yang, Dan.

Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017: 3–4 November 2017 Harbin, Heilongjiang, China. ed. / Wei Dong; Xiaoyuan Xie. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 63-71.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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PY - 2017

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N2 - Quality model is regarded as a well-accepted approach for assessing, managing and improving software product quality. There are three categories of quality models for software products, i.e., definition model, assessment model, and prediction model. Quality assessment model (QAM) is a metric-based approach to assess the software quality. It is typically regarded as of high importance for its clear method on how to assess a system. However, the current state-of-the-art in QAM research is under limited investigation. To address this gap, the paper provides an organized and synthesized summary of the current QAMs. In detail, we conduct a systematic mapping study (SMS) for structuring the relevant articles. We obtain a total of 716 papers from the five databases, and 31 papers are selected as relevant studies at last. In summary, our work focuses on QAMs from the following aspects: software metrics, quality factors, evaluation methods and tool support.

AB - Quality model is regarded as a well-accepted approach for assessing, managing and improving software product quality. There are three categories of quality models for software products, i.e., definition model, assessment model, and prediction model. Quality assessment model (QAM) is a metric-based approach to assess the software quality. It is typically regarded as of high importance for its clear method on how to assess a system. However, the current state-of-the-art in QAM research is under limited investigation. To address this gap, the paper provides an organized and synthesized summary of the current QAMs. In detail, we conduct a systematic mapping study (SMS) for structuring the relevant articles. We obtain a total of 716 papers from the five databases, and 31 papers are selected as relevant studies at last. In summary, our work focuses on QAMs from the following aspects: software metrics, quality factors, evaluation methods and tool support.

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Yan M, Xia X, Zhang X, Xu L, Yang D. A systematic mapping study of quality assessment models for software products. In Dong W, Xie X, editors, Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017: 3–4 November 2017 Harbin, Heilongjiang, China. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 63-71 https://doi.org/10.1109/SATE.2017.16