earticle

논문검색

Examining the Effectiveness of Testing Coverage Tools : An Empirical Study

초록

영어

Code coverage is one of the most important aspects of software testing, which helps software engineers to understand which portion of code has been executed using a given test suite throughout the software testing process. Automatic testing tools are widely utilized to provide testing coverage metrics in order to gauge the quality of software, but these tools may have some shortcomings such as the difference among the values of code coverage metric of a given program using different code coverage tools. Therefore, we designed and performed a controlled experiment to investigate whether these tools have a significant difference among the measured values of coverage metric or not. We collected the coverage data that consist of branch, line, statement, and method coverage metrics. Statistically, our findings show that there is a significant difference of code coverage results among the code coverage tools in terms of branch and method coverage metrics.

목차

Abstract
 1. Introduction
 2. Background and Related Work
  2.1. Comparison among Code Coverage Tools
  2.2. Metrics for Evaluating Code Coverage Tools
 3. Software Testing Coverage
  3.1. Testing Coverage
  3.2. Software Testing Tools
 4. Empirical Study
  4.1. Objects of Analysis
  4.2. Variables and Measures
  4.3. Experiment Setup and Procedure
 5. Data and Analysis
  5.1. Analysis of Results for Branch Coverage
  5.2. Analysis of Results for Line Coverage
  5.3. Analysis of Results for Statement Coverage
  5.4. Analysis of Results for Method Coverage
  5.5. Threats to Validity
 6. Discussion
 7. Conclusion and Future Work
 References

저자정보

  • Khalid Alemerien Computer Science Department North Dakota State University Fargo, North Dakota, USA
  • Kenneth Magel Computer Science Department North Dakota State University Fargo, North Dakota, USA

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.