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

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.

scholarly journals A Stochastic Method for Test Case Selection in Software Testing

2020 ◽  
Vol 8 (4S5) ◽  
pp. 265-271
Keyword(s):  
Software Development ◽  
Software Testing ◽  
Test Case ◽  
Test Cases ◽  
Nsga Ii ◽  
Code Coverage ◽  
Test Case Selection ◽  
Redundant Data ◽  
Case Selection ◽  
Selection Of

The quality of the software is a very important aspect in the development of software application. In order to make sure there is the software of good quality, testing is a critical activity of software development. Thus, software testing is the activity which focuses on the computation of an attribute or the ability of either a system or program that decides if user requirements are met. There is a proper strategy for the design of software for which testing has to be adopted. The techniques of test case selection attempt at reduction of the test cases that need to be executed at the same time satisfying the needs of testing that has been denoted by the test criteria. In the time of software testing, and the resource will be the primary constraints at the time of testing since this has been a highly neglected phase in the Software Development Life Cycle (SDLC). The optimizing of a test suite is very critical for the reduction of the testing phase and also the selection of the test cases that eliminate unwanted or redundant data. All work in literature will make use of techniques of single objective optimization that does not have to be efficient as the code coverage will play an important role at the time of selection of test case. As the test case choice is Non-Deterministic, the work also proposes a novel and multi-objective algorithm like the Non-Dominated Sorting Genetic Algorithm II (NSGA II) and the Stochastic Diffusion Search (SDS) algorithm that makes use of the cost of execution and code coverage as its objective function. The results prove a faster level of convergence of the algorithm with better coverage of code in comparison to the NSGA II.

scholarly journals IMPLEMENTATION OF NOVEL APPROACHES IN BIDIRECTIONAL MODEL TRANSFORMATION: A SYSTEMATIC LITERATURE REVIEW

2021 ◽  
Vol 4 (1) ◽  
pp. 91-112
Author(s):  
Hafiz Gulfam Ahmad ◽  
◽  
Iqra Tahir ◽  
Naveed Naeem Abbas ◽  
◽  
...  
Keyword(s):  
Time Delay ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Model Transformation ◽  
Model Transformations ◽  
Balanced Approach ◽  
Bidirectional Model Transformation ◽  
The Cost ◽  
Insight Into

In the past few years, software development has seen rapid growth, and developers have adopted different methods to provide efficient procedures in software development, thus reducing the overall bug counts and time delay. Bidirectional model transformation is one such technique that encompasses the development of the object code in both directions enabling an abstract view of the software to the developer; over the year’s researchers, have been able to produce many approaches in bidirectional model transformations (bx), but the cost and best fir for effective model transformation, in particular, a quantities survey will be designed which will discuss the best possible apron in the bx. The methodology for this survey shall be made through SLR to identify around 20 different approaches proposed for bidirectional model transformation; these studies range from the year 2010 till date and are thus, rendered latest in the respective fields of our survey. The gathered results have been calculated on the specific set of parameters that are cost and time of usage time are the main aspects of these approaches, and that is the predicament that has made us produce a systematic literature review (SLR) on this very topic. Thus, this paper investigates different approaches based on their implementation cost and time delay and discusses their limitations, and the approach is implemented. Those approaches have been selected, which culminate in both of these respective parameters. The main objective of this SLR is to provide an insight into the different approaches and establish a well-balanced approach that can be used in bidirectional model transformation in software development.

Servant Leadership: A systematic literature review—toward a model of antecedents and outcomes

2019 ◽  
Vol 34 (1) ◽  
pp. 32-68 ◽  
Author(s):  
Jan G Langhof ◽  
Stefan Güldenberg
Keyword(s):  
Literature Review ◽  
Servant Leadership ◽  
Systematic Literature Review ◽  
Research Area ◽  
Leadership Model ◽  
Management Literature ◽  
Insight Into

The purpose of this article is multi-layered. First, we focus on gaining a comprehensive insight into a research area which just recently received more recognition in management literature: servant leadership. Second, we identify antecedent and outcomes of servant leadership within the existing research body. Third, we synthesize and develop a comprehensive servant leadership model. It assists academics and practitioners in keeping pace with the increasing servant leadership literature. The systematic literature review provides explanations as to why managers practice servant leadership. The study also contributes to a better understanding of the outcomes of servant leadership and brings clarity to a discombobulated group of studies.

Test Case Selection Method for the Verification of Automated Driving Systems

2021 ◽  
Vol 16 (11) ◽  
pp. 40-45
Author(s):  
Lennart Vater ◽  
Andreas Pütz ◽  
Levasseur Tellis ◽  
Lutz Eckstein
Keyword(s):  
Selection Method ◽  
Test Case ◽  
Automated Driving ◽  
Test Case Selection ◽  
Case Selection

Heuristic-Driven Test Case Selection from Formal Specifications. A Case Study

2002 ◽  
pp. 57-76 ◽  
Author(s):  
Juan C. Burguillo-Rial ◽  
Manuel J. Fernández-Iglesias ◽  
Francisco J. González-Castaño ◽  
Martín Llamas-Nistal
Keyword(s):  
Test Case ◽  
Formal Specifications ◽  
Test Case Selection ◽  
Case Selection
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