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RISS 인기검색어
- 검색키워드
- 저자 : Hironori Washizaki (검색결과 2 건)
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Metrics to Predict Future Modifications and Defects Based on Software Requirements Specifications
Taketo Tsunoda,Hironori Washizaki,Yosiaki Fukazawa,Sakae Inoue,Yoshiiku Hanai,Masanobu Kanazawa 대한전자공학회 2019 IEIE Transactions on Smart Processing & Computing Vol.8 No.3
In software development, the quality of the upstream process greatly affects the quality of the downstream process. However, few studies have applied metrics to estimate quality, controlled the quality quantitatively, or have verified the relationship between specifications and software quality. One reason is that specifications are described in natural language, making it difficult to quantitatively evaluate software metrics, such as complexity. Although high-quality software requirements specifications (SRSs) lead to successful implementation, neither a simple quantitative evaluation nor an effective indicator to predict modification-prone SRSs exists. Herein, the effectiveness of two specification metrics is evaluated (the number of pages and the number of previous modifications) in order to predict software defects and future modifications of SRSs. We confirm that both specification quality measured by specification metrics and software quality measured by the number of defects are related. We also reveal that future modifications are correlated with the size of SRSs.
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Potential GQM+Strategies Improvement using Balanced Scorecard Perspectives
Jati H. Husen,Hironori Washizaki,Yoshiaki Fukazawa 대한전자공학회 2019 IEIE Transactions on Smart Processing & Computing Vol.8 No.2
Business–information technology (IT) alignment, which links IT-based strategies to higher business goals, is becoming more critical as organizations rely more on IT solutions to conduct their business activities. While GQM+Strategies provides a platform to achieve good business–IT alignment, lack of attention to different aspects of an organization may lead to failure to do so. In this paper, we evaluated three cases of GQM+Strategies implementation to find possibilities of integrating balanced scorecard perspectives into the GQM+Strategies framework by classifying the goals and strategies into balanced scorecard perspectives and evaluating them based on rules of the balanced scorecard framework. We found that GQM+Strategies has a problem in maintaining balanced distribution of goals and strategies across different perspectives. We also saw signs that inexperienced grid developers may align the goals and strategies poorly when classifying the goals and strategies into perspectives. Lastly, we found that transitions between different balanced scorecard perspectives happen exclusively at the derivation of goals from strategies. Based on those findings, we propose three potential methods to improve GQM+Strategies in order to detect potential problems. On top of that, we explain what is needed for each method before we finally utilize them.
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