A Systematic Literature Review of Test Case Prioritization Using Genetic Algorithms

This paper reports a systematic review of the literature about genetic algorithms applied to the multiprocessor task scheduling problem. After defining a protocol with the main rules of this review, the research was performed considering journal papers published between 1990 and 2018. At the end of this process, 37 works were recovered and analyzed. By performing a meta-analysis, a variety of information was extracted and summarized, including impact factor, Eigenfactor score, scenarios considered, optimization metrics, volume of citations, and others.

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Database Query Optimization using Genetic Algorithms: A Systematic Literature Review

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2019/14852019 ◽

2019 ◽

Vol 8 (5) ◽

pp. 1903-1913

Author(s):

Swati V. Chande ◽

Keyword(s):

Genetic Algorithms ◽

Literature Review ◽

Query Optimization ◽

Systematic Literature Review ◽

Database Query

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Systematic Literature Review on Test Case Selection and Prioritization: A Tertiary Study

Applied Sciences ◽

10.3390/app112412121 ◽

2021 ◽

Vol 11 (24) ◽

pp. 12121

Author(s):

Shweta Singhal ◽

Nishtha Jatana ◽

Bharti Suri ◽

Sanjay Misra ◽

Luis Fernandez-Sanz

Keyword(s):

Literature Review ◽

Software Development ◽

Systematic Literature Review ◽

Statistical Tests ◽

Maintenance Phase ◽

Quality Parameters ◽

Test Case ◽

Test Case Selection ◽

Case Selection ◽

Insight Into

Software testing is undertaken to ensure that the software meets the expected requirements. The intention is to find bugs, errors, or defects in the developed software so that they can be fixed before deployment. Testing of the software is needed even after it is deployed. Regression testing is an inevitable part of software development, and must be accomplished in the maintenance phase of software development to ensure software reliability. The existing literature presents a large amount of relevant knowledge about the types of techniques and approaches used in regression test case selection and prioritization (TCS&P), comparisons of techniques used in TCS&P, and the data used. Numerous secondary studies (surveys or reviews) have been conducted in the area of TCS&P. This study aimed to provide a comprehensive examination of the analysis of the enhancements in TCS&P using a thorough systematic literature review (SLR) of the existing secondary studies. This SLR provides: (1) a collection of all the valuable secondary studies (and their qualitative analysis); (2) a thorough analysis of the publications and the trends of the secondary studies; (3) a classification of the various approaches used in the secondary studies; (4) insight into the specializations and range of years covered in the secondary texts; (5) a comprehensive list of statistical tests and tools used in the area; (6) insight into the quality of the secondary studies based on the seven selected Research Paper Quality parameters; (7) the common problems and challenges encountered by researchers; (8) common gaps and limitations of the studies; and (9) the probable prospects for research in the field of TCS&P.

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