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논문 기본 정보

자료유형
학술저널
저자정보
Taketo Tsunoda (Waseda University) Hironori Washizaki (Waseda University) Yosiaki Fukazawa (Waseda University) Sakae Inoue (Fujitsu Connected Technologies Limited) Yoshiiku Hanai (Fujitsu Connected Technologies Limited) Masanobu Kanazawa (Fujitsu Connected Technologies Limited)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.8 No.3
발행연도
2019.6
수록면
210 - 218 (9page)
DOI
10.5573/IEIESPC.2019.8.3.210

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초록· 키워드

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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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Abstract
1. Introduction
2. Related Work
3. Experiment
4. Evaluation and Results
5. Threats to Validity
6. Visualization of Results
7. Conclusion and Future Work
References

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UCI(KEPA) : I410-ECN-0101-2019-569-000907014