Code Coverage

2019 ◽  
Author(s):  
Bill Mårtensson
Keyword(s):  
Code Coverage

scholarly journals Fine-grained Code Coverage Measurement in Automated Black-box Android Testing

2020 ◽  
Vol 29 (4) ◽  
pp. 1-35
Author(s):  
Aleksandr Pilgun ◽  
Olga Gadyatskaya ◽  
Yury Zhauniarovich ◽  
Stanislav Dashevskyi ◽  
Artsiom Kushniarou ◽  
...  
Keyword(s):  
Black Box ◽  
Code Coverage ◽  
Fine Grained ◽  
Coverage Measurement

scholarly journals The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems

2021 ◽  
Vol 26 (2) ◽  
Author(s):  
Fabiano Pecorelli ◽  
Fabio Palomba ◽  
Andrea De Lucia
Keyword(s):  
Software Quality ◽  
Compelling Evidence ◽  
Related Factors ◽  
Code Coverage ◽  
Production Code ◽  
Software Code ◽  
Class Test ◽  
Code Quality ◽  
Lack Of Knowledge

AbstractTesting represents a crucial activity to ensure software quality. Recent studies have shown that test-related factors (e.g., code coverage) can be reliable predictors of software code quality, as measured by post-release defects. While these studies provided initial compelling evidence on the relation between tests and post-release defects, they considered different test-related factors separately: as a consequence, there is still a lack of knowledge of whether these factors are still good predictors when considering all together. In this paper, we propose a comprehensive case study on how test-related factors relate to production code quality in Apache systems. We first investigated how the presence of tests relates to post-release defects; then, we analyzed the role played by the test-related factors previously shown as significantly related to post-release defects. The key findings of the study show that, when controlling for other metrics (e.g., size of the production class), test-related factors have a limited connection to post-release defects.

scholarly journals Formulation and research of new fitness function in the genetic algorithm for maximum code coverage

2021 ◽  
Vol 186 ◽  
pp. 713-720
Author(s):  
T.V. Avdeenko ◽  
K.E. Serdyukov ◽  
Z.B. Tsydenov
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Code Coverage

scholarly journals Code Coverage Visualization on Web-Based Testing Tool for Java Programs

2015 ◽  
Vol 2 (2) ◽  
pp. 89
Author(s):  
Mochamad Chandra Saputra ◽  
Tetsuro Katayama
Keyword(s):  
Web Based ◽  
Code Coverage ◽  
Testing Tool ◽  
Java Programs

scholarly journals Selection of Best Test Cases using Support Vector Machine for ARPT

2019 ◽  
Vol 8 (3) ◽  
pp. 4265-4271
Keyword(s):  
Support Vector Machine ◽  
Software Testing ◽  
Support Vector ◽  
Test Cases ◽  
Testing Strategy ◽  
Random Partition ◽  
Code Coverage ◽  
Time Consumption ◽  
Branch Coverage ◽  
Selection Of

Software testing is an essential activity in software industries for quality assurance; subsequently, it can be effectively removing defects before software deployment. Mostly good software testing strategy is to accomplish the fundamental testing objective while solving the trade-offs between effectiveness and efficiency testing issues. Adaptive and Random Partition software Testing (ARPT) approach was a combination of Adaptive Testing (AT) and Random Partition Approach (RPT) used to test software effectively. It has two variants they are ARPT-1 and ARPT-2. In ARPT-1, AT was used to select a certain number of test cases and then RPT was used to select a number of test cases before returning to AT. In ARPT-2, AT was used to select the first m test cases and then switch to RPT for the remaining tests. The computational complexity for random partitioning in ARPT was solved by cluster the test cases using a different clustering algorithm. The parameters of ARPT-1 and ARPT-2 needs to be estimated for different software, it leads to high computation overhead and time consumption. It was solved by Improvised BAT optimization algorithms and this approach is named as Optimized ARPT1 (OARPT1) and OARPT2. By using all test cases in OARPT will leads to high time consumption and computational overhead. In order to avoid this problem, OARPT1 with Support Vector Machine (OARPT1-SVM) and OARPT2- SVM are introduced in this paper. The SVM is used for selection of best test cases for OARPT-1 and OARPT-2 testing strategy. The SVM constructs hyper plane in a multi-dimensional space which is used to separate test cases which have high code and branch coverage and test cases which have low code and branch coverage. Thus, the SVM selects the best test cases for OARPT-1 and OARPT-2. The selected test cases are used in OARPT-1 and OARPT-2 to test software. In the experiment, three different software is used to prove the effectiveness of proposed OARPT1- SVM and OARPT2-SVM testing strategies in terms of time consumption, defect detection efficiency, branch coverage and code coverage.

scholarly journals Developing Web-Application’s Automated Testing Technique

2019 ◽  
Vol 17 (3) ◽  
pp. 93-110
Author(s):  
A. V. Tkachev ◽  
D. V. Irtegov
Keyword(s):  
Web Application ◽  
Development Process ◽  
Web Applications ◽  
Assessment System ◽  
Automated Testing ◽  
Automatic Assessment ◽  
Testing Technique ◽  
Code Coverage ◽  
Client Side ◽  
User Actions

The article is devoted to the technique of automated testing of NSUts – automatic assessment system for programming tasks developed at NSU. The main priority for this technique is to test both the old and the new versions of the application, so that the same or minimally modified tests could be executed on two versions of the system with different architectures. This could be useful while organizing the development process for other applications with a long life cycle. To test not only the server but also the client side of the web application, we suggest using tools like Selenium WebDriver to simulate user actions by sending commands to real browsers. We use the well-known Page Object design pattern to handle differences in HTML layout and functionality, and describe a number of ways to make developed tests less fragile and easily adapt those to work with the new version of the system. The article also describes the use of this technique to organize automated testing of the NSUts system and analyzes its effectiveness. The analysis shows that the estimated code coverage by these tests is quite high, and therefore the technique can be considered effective and applied to other similar web applications.

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