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 proceedingConference PaperResearchpeer-review

13 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings - 2017 Annual Conference on Software Analysis, Testing and Evolution, SATE 2017
Subtitle of host publication3–4 November 2017 Harbin, Heilongjiang, China
EditorsWei Dong, Xiaoyuan Xie
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages9
ISBN (Electronic)9781538636879
ISBN (Print)9781538636886
Publication statusPublished - 2017
Externally publishedYes
EventInternational Conference on Software Analysis, Testing and Evolution 2017 - Harbin, Heilongjiang, China
Duration: 3 Nov 20174 Nov 2017


ConferenceInternational Conference on Software Analysis, Testing and Evolution 2017
Abbreviated titleSATE 2017
CityHarbin, Heilongjiang
Internet address


  • Quality assessment model
  • Software quality
  • Systematic mapping study

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