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

15 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/Territory	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

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 et al. / 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.",

keywords = "Quality assessment model, Software quality, Systematic mapping study",

author = "Meng Yan and Xin Xia and Xiaohong Zhang and Ling Xu and Dan Yang",

year = "2017",

doi = "10.1109/SATE.2017.16",

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isbn = "9781538636886",

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booktitle = "Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017",

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

address = "United States of America",

note = "International Conference on Software Analysis, Testing and Evolution 2017, SATE 2017 ; Conference date: 03-11-2017 Through 04-11-2017",

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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 et al.
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

TY - GEN

T1 - A systematic mapping study of quality assessment models for software products

AU - Yan, Meng

AU - Xia, Xin

AU - Zhang, Xiaohong

AU - Xu, Ling

AU - Yang, Dan

PY - 2017

Y1 - 2017

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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BT - Proceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017

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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 doi: 10.1109/SATE.2017.16

A systematic mapping study of quality assessment models for software products

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