Ranking software engineering measures related to reliability using expert opinion

Li, M.; Smidts, Carol; Brill, R.W.

doi:10.1109/issre.2000.885876

Cited by 13 publications

(9 citation statements)

References 4 publications

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“…A similar study conducted by Li et al [26] [27] where they have done phasewise ranking of software metrics which influence the software reliability. These software metrics were ranked with respect to their ability in predicting software reliability through an expert opinion elicitation process.…”

Section: Related Workmentioning

confidence: 99%

A fuzzy logic based approach for phase-wise software defects prediction using software metrics

Yadav

2015

Information and Software Technology

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Section: Related Workmentioning

confidence: 99%

A fuzzy logic based approach for phase-wise software defects prediction using software metrics

Yadav

2015

Information and Software Technology

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“…A similar study conducted by Li et al [22], Li and Smidts [23], and they have done ranking of software reliability-relevant metrics which influence the software reliability. These software metrics were ranked with respect to their ability to predict software reliability through an expert opinion elicitation process.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy Logic Approach for Multistage Defects Density Analysis of Software

Yadav

2014

Advances in Intelligent Systems and Computing

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The prediction of software defects in a software project has recently attracted the attention of many researchers. Prediction of defect density indicator (DDI) in each phase of software development life cycle (SDLC) is desirable for effective decision support and trade-off analysis during software development, and also, it improves the reliability of software project and helps software manager to achieve reliable software product within time and costs. The reliability-relevant software metrics impose major impact on the quality of software project at each software development stage. However, software metrics are associated with uncertainty and can be assessed in linguistic terms. Therefore, in this paper, a multistage model for software DDI is proposed using the topmost reliability-relevant metrics and fuzzy inference system (FIS).The predictive accuracy of proposed model is validated using real software projects data. Validation results are satisfactory.

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“…IEEE 982.1 [8] and 982.2 [9] standard provide 39 measures classified into product and process categories and those measures mapped for each SDLC stages. Li' and Smidts's research [10] introduces top ranked software reliability metrics based on experts' opinion. H. Kan's book [11] provides metrics and models in the practice of quality engineering in SDLC.…”

Section: Metrics Identification Related To Software Reliabilitymentioning

confidence: 99%

Software Reliability Assurance Using a Framework in Weapon System Development: A Case Study

Lee

Baik

Shin

2009

2009 Eighth IEEE/ACIS International Conference on Computer and Information Science

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In embedded systems like weapon systems, the proportion of software has been growing and the quality of software, which provides complicated functionalities of a system and controls hardware, affects the quality of the entire system. Besides, to implement/acquire reliable software, we need the efforts for assuring process quality as well as product quality in the whole software development life cycle. In this paper, we propose a framework to assure software reliability of weapon systems in Korean defense domain. The framework provides a guideline for software reliability evaluation to software organizations and pursues the improvement of software engineering process which supports activities and indicators for quantitative project management in the software development process. We also present the empirical study of the application of the proposed framework and the analysis results on the effectiveness of the proposed framework.

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Ranking software engineering measures related to reliability using expert opinion

Cited by 13 publications

References 4 publications

A fuzzy logic based approach for phase-wise software defects prediction using software metrics

A fuzzy logic based approach for phase-wise software defects prediction using software metrics

A Fuzzy Logic Approach for Multistage Defects Density Analysis of Software

Software Reliability Assurance Using a Framework in Weapon System Development: A Case Study

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