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- Tanizaki Koichi
- Tokyo Institute of Technology
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- Chang Shuang
- Tokyo Institute of Technology
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- Deguchi Hiroshi
- Tokyo Institute of Technology
Bibliographic Information
- Other Title
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- 要求仕様レビュー技法のクロスオーバー試験に基づく評価研究
- ヨウキュウ シヨウ レビュー ギホウ ノ クロスオーバー シケン ニ モトズク ヒョウカ ケンキュウ
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Abstract
<p>Creating requirements specifications is essential in product development projects. It is important to detect defects of requirements specifications by reviewing them in a phase of requirements analysis because it can lead big cost to fix the defects if they are found in post-process. Reviewing of requirements specifications is a form of manual simulation and reviewers should consider various boundary conditions to simulate the behavior of products and to detect defects. Considering boundary conditions that are not written in requirements specifications is difficult with conventional review techniques such as Checklist-based reviewing and Scenario-based reviewing. To solve this problem, a review technique based on adverse conditions analysis (ACA) was proposed. ACA incorporates modeling of boundary conditions. According to previous research, ACA is effective to review requirements specifications. However, discussion about the difference between ACA and conventional review techniques was insufficient. Verification of the effectiveness of it was also not enough. Therefore, we clarified its characteristics and confirmed effectiveness through experiment based on a crossover trial that test engineers conduct reviewing of requirements specifications using ACA and the conventional review technique. It was confirmed that many important defects can be detected by reviewing requirements specifications using ACA and that it was cost-effective. We also discussed the application of gaming to ACA.</p>
Journal
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- STUDIES IN SIMULATION AND GAMING
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STUDIES IN SIMULATION AND GAMING 30 (2), 95-109, 2020-12-25
Japan Association of Simulation And Gaming
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Keywords
Details 詳細情報について
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- CRID
- 1390286981365425536
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- NII Article ID
- 130007965963
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- NII Book ID
- AN10412271
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- ISSN
- 24340472
- 13451499
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- NDL BIB ID
- 031221889
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed