Integrating Manual and Automatic Risk Assessment for Risk-Based Testing

Felderer, Michael; Haisjackl, Christian; Breu, Ruth; Motz, Johannes

doi:10.1007/978-3-642-27213-4_11

Cited by 34 publications

(23 citation statements)

References 21 publications

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“…For instance, Van Veenendaal (2012) proposes complexity, number of changes, new technology and methods, size, or defect history as probability factors and critical areas, visible areas, most used areas, business importance, or cost or rework as impact criteria. In another paper, Felderer et al (2012) propose, for instance, code complexity, functional complexity, or testability as probability criteria as well as importance or usage as impact criteria. All listed factors are typically estimated manually and not guided by software quality models as proposed in this article.…”

Section: Risk-based Testingmentioning

confidence: 99%

“…As follows, the calculation of the different factors is outlined. The calculation is based on the suggestion of Felderer et al (2012) for calculating the risk coefficient. They propose to weight the used criteria for determining each factor.…”

Section: Integration Approachmentioning

confidence: 99%

“…They propose to weight the used criteria for determining each factor. Further, Felderer et al (2012) suggest to use a range from 0 to 9 as a scale for the probability and also for the impact factor. The idea behind this range from 0 to 9 is that the probability can be seen as percentage, whereas the value 10 is skipped because we assume that no risk item fails for sure.…”

Section: Integration Approachmentioning

confidence: 99%

“…The presented approaches are based on previous work of Felderer et al (2012) who defined a model-based risk assessment procedure integrated in a generic riskbased testing process.…”

Section: Integration Of Quality Models Into Risk-based Testingmentioning

confidence: 99%

“…According to the literature (Felderer et al 2012, p. 166), the impact factor must be determined manually by product managers or the customers themselves based on the requirements documents (Felderer et al 2012, p. 173). For the sake of comprehensibility, the impact factor in our integration approach is described by two criteria suggested by Felderer et al (2012), namely Importance and Usage. The usage describes the frequency of use by users (Felderer et al 2012), whereas the importance criterion is defined according to Van Veenendaal (2009) as criterion which describes the most critical areas according to cost and consequences of defects.…”

Section: Determination Of the Impact Factormentioning

confidence: 99%

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Integrating software quality models into risk-based testing

Foidl

Felderer

2016

Software Qual J

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Risk-based testing is a frequently used testing approach which utilizes identified risks of a software system to provide decision support in all phases of the testing process. Risk assessment, which is a core activity of every risk-based testing process, is often done in an ad hoc manual way. Software quality assessments, based on quality models, already describe the product-related risks of a whole software product and provide objective and automation-supported assessments. But so far, quality models have not been applied for risk assessment and risk-based testing in a systematic way. This article tries to fill this gap and investigates how the information and data of a quality assessment based on the open quality model QuaMoCo can be integrated into risk-based testing. We first present two generic approaches showing how quality assessments based on quality models can be integrated into risk-based testing and then provide the concrete integration on the basis of the open quality model QuaMoCo. Based on five open source products, a case study is performed. Results of the case study show that a risk-based testing strategy outperforms a lines of code-based testing strategy with regard to the number of defects detected. Moreover, a significant positive relationship between the risk coefficient and the associated number of defects was found.

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Section: Risk-based Testingmentioning

confidence: 99%

Section: Integration Approachmentioning

confidence: 99%

Section: Integration Approachmentioning

confidence: 99%

“…The presented approaches are based on previous work of Felderer et al (2012) who defined a model-based risk assessment procedure integrated in a generic riskbased testing process.…”

Section: Integration Of Quality Models Into Risk-based Testingmentioning

confidence: 99%

Section: Determination Of the Impact Factormentioning

confidence: 99%

See 3 more Smart Citations