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 |
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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 | |
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 |
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Abbreviated title | SATE 2017 |
Country/Territory | China |
City | Harbin, Heilongjiang |
Period | 3/11/17 → 4/11/17 |
Internet address |
Keywords
- Quality assessment model
- Software quality
- Systematic mapping study