| 1. |
- Beer, Armin, et al.
(author)
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Measuring and improving testability of system requirements in an industrial context by applying the goal question metric approach
- 2018
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In: Proceedings - International Conference on Software Engineering. - New York, NY, USA : IEEE Computer Society. - 9781450357494 ; , s. 25-32
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Conference paper (peer-reviewed)abstract
- Testing is subject to two basic constraints, namely cost and quality. The cost depends on the efficiency of the testing activities as well as their quality and testability. The author's practical experience in large-scale systems shows that if the requirements are adapted iteratively or the architecture is altered, testability decreases. However, what is often lacking is a root cause analysis of the testability degradations and the introduction of improvement measures during software development. In order to introduce agile practices in the rigid strategy of the V-model, good testability of software artifacts is vital. So testability is also the bridgehead towards agility. In this paper, we report on a case study in which we measure and improve testability on the basis of the Goal Question Metric Approach. © 2018 ACM.
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| 2. |
- Sulaman, Sardar Muhammad, et al.
(author)
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Comparison of the FMEA and STPA safety analysis methods : a case study
- 2019
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In: Software quality journal. - : Springer. - 0963-9314 .- 1573-1367. ; 27:1, s. 349-387
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Journal article (peer-reviewed)abstract
- As our society becomes more and more dependent on IT systems, failures of these systems can harm more and more people and organizations. Diligently performing risk and hazard analysis helps to minimize the potential harm of IT system failures on the society and increases the probability of their undisturbed operation. Risk and hazard analysis is an important activity for the development and operation of critical software intensive systems, but the increased complexity and size puts additional requirements on the effectiveness of risk and hazard analysis methods. This paper presents a qualitative comparison of two hazard analysis methods, failure mode and effect analysis (FMEA) and system theoretic process analysis (STPA), using case study research methodology. Both methods have been applied on the same forward collision avoidance system to compare the effectiveness of the methods and to investigate what are the main differences between them. Furthermore, this study also evaluates the analysis process of both methods by using a qualitative criteria derived from the technology acceptance model (TAM). The results of the FMEA analysis were compared to the results of the STPA analysis, which were presented in a previous study. Both analyses were conducted on the same forward collision avoidance system. The comparison shows that FMEA and STPA deliver similar analysis results.
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| 3. |
- Sulaman, Sardar Muhammad, et al.
(author)
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Comparison of the FMEA and STPA safety analysis methods-a case study
- 2019
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In: Software Engineering and Software Management 2019, Proceedings. - 9783885796862 ; P-292, s. 175-176
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Conference paper (peer-reviewed)abstract
- This summary refers to the paper 'Comparison of the FMEA and STPA safety analysis methods-a case study' [Su17]. The paper was published as an article in the Software Quality Journal. It compares the Failure Mode and Effect Analysis (FMEA) and the System Theoretic Process Analysis (STPA) in an industrial case study.
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