원문정보
초록
영어
Software metrics proposed in various theories and literature have considerable variation among them. The sole purpose of all these theories is to improve the quality of software projects by producing and using quantitative measures. All these theories improve the quality of a software project and mend all the issues relating to software refactoring. As the software industry moves to a more mature state, the need for employing more effective tools, techniques and benchmarks for managing software projects has become significantly critical to minimize the negative risk factors as well as ensuring augmented adherence to quality assurance. In this study, we intend to explore how distinctive metrics with respect to different knowledge areas, especially in design engineering, could be useful to manage knowledgeably the software projects. The focus of this research study is to evaluate and highlight the importance of various performance metrics and measures to track the software project performance followed by some already proposed metrics for software design, development and management.
목차
1. Introduction
2. Background and Literature Survey
2.1. The CK-Metric Suite
2.2. Bad-smell Prediction from Software Design Model
2.3. A Metric-Based Approach to Enhance Design Quality
2.4. Maintainability Index Metrics Framework
2.5. Design Flaws
3. Software Design Phase
4. Proposed Design Metrics Omnibus
4.1. Flexibility
4.2. Extensibility
4.3. Modifiability
4.4. Usability
4.5. Productivity
4.6. Stability
4.7. Volatility
4.8. Adaptability
4.9. Testability
4.10. Maintainability
5. Effects/Results of Proposed Metrics
6. Conclusion
References
키워드
저자정보
참고문헌
- 1On the Impact of Design Flaws on Software Defects네이버 원문 이동
- 2Object oriented design metrics framework based on code extraction네이버 원문 이동
- 3A systematic review of software maintainability prediction and metrics네이버 원문 이동
- 4On Practice of Big Software Designing네이버 원문 이동
- 5Experimental assessment of software metrics using automated refactoring네이버 원문 이동
- 6Comparing design and code metrics for software quality prediction네이버 원문 이동
- 7Metrics to study symptoms of bad software designs네이버 원문 이동
- 8Validation of CK Metrics for Object Oriented Design Measurement네이버 원문 이동
- 9Using Software Metrics for Automatic Software Design Improvement네이버 원문 이동
- 10(Reference title not available)
- 11Bad-smell prediction from software design model using machine learning techniques네이버 원문 이동