Harnessing Multiple Source Test Cases in Metamorphic Testing: A Case Study in Bioinformatics

2017 ◽  
Author(s):  
Joshua Y.S. Tang ◽  
Andrian Yang ◽  
Tsong Yueh Chen ◽  
Joshua W.K. Ho
Keyword(s):  
Multiple Source ◽  
Test Cases ◽  
Metamorphic Testing ◽  
Source Test

Path-directed source test case generation and prioritization in metamorphic testing

2021 ◽  
pp. 111091
Author(s):  
Chang-ai Sun ◽  
Baoli Liu ◽  
An Fu ◽  
Yiqiang Liu ◽  
Huai Liu
Keyword(s):  
Test Case Generation ◽  
Test Case ◽  
Metamorphic Testing ◽  
Source Test

scholarly journals Using Fuzzy Logic in Test Case Prioritization for Regression Testing Programs with Assertions

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ali M. Alakeel
Keyword(s):  
Fuzzy Logic ◽  
Regression Testing ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Software Developers ◽  
Novel Approach ◽  
History Of ◽  
Supporting Tool

Program assertions have been recognized as a supporting tool during software development, testing, and maintenance. Therefore, software developers place assertions within their code in positions that are considered to be error prone or that have the potential to lead to a software crash or failure. Similar to any other software, programs with assertions must be maintained. Depending on the type of modification applied to the modified program, assertions also might have to undergo some modifications. New assertions may also be introduced in the new version of the program, while some assertions can be kept the same. This paper presents a novel approach for test case prioritization during regression testing of programs that have assertions using fuzzy logic. The main objective of this approach is to prioritize the test cases according to their estimated potential in violating a given program assertion. To develop the proposed approach, we utilize fuzzy logic techniques to estimate the effectiveness of a given test case in violating an assertion based on the history of the test cases in previous testing operations. We have conducted a case study in which the proposed approach is applied to various programs, and the results are promising compared to untreated and randomly ordered test cases.

AUTOMATIC GENERATION OF TEST CASES FROM ACTIVITY DIAGRAMS FOR UML BASED TESTING (UBT)

2015 ◽  
Vol 77 (13) ◽  
Author(s):  
Oluwatolani Oluwagbemi ◽  
Hishammuddin Asmuni
Keyword(s):  
Automatic Generation ◽  
Test Cases ◽  
System Testing ◽  
Activity Diagrams ◽  
Model File ◽  
Transition Criteria

Activity diagrams are one of UML behavioural models suitable for system testing because it has the capacity to effectively describe the behaviours of systems under development. In this paper, a technique is proposed that generates test cases from activity diagrams by constructing an activity flow tree (AFT) which stores all the information extracted from the model file of the diagram through the help of a parser. Then, we applied an algorithm to generate test cases from the constructed tree. Test cases were generated based on the elements of activity diagrams such as activity sequences, associated descriptions and conditions. The proposed technique generated accurate test cases that completely tallied with the modeled requirements in the diagram. We utilized all-paths, basic pair paths, conditions, branches and transition criteria for generating test cases using ATM withdrawal operation software as a case study.

Leveraging the Cloud for Large-Scale Software Testing – A Case Study

2012 ◽  
pp. 252-279 ◽  
Author(s):  
Anjan Pakhira ◽  
Peter Andras
Keyword(s):  
Large Scale ◽  
Analysis Data ◽  
System Level ◽  
Small Scale ◽  
Test Cases ◽  
Software Life Cycle ◽  
Technical Issues ◽  
Wide Scale ◽  
Set Up

Testing is a critical phase in the software life-cycle. While small-scale component-wise testing is done routinely as part of development and maintenance of large-scale software, the system level testing of the whole software is much more problematic due to low level of coverage of potential usage scenarios by test cases and high costs associated with wide-scale testing of large software. Here, the authors investigate the use of cloud computing to facilitate the testing of large-scale software. They discuss the aspects of cloud-based testing and provide an example application of this. They describe the testing of the functional importance of methods of classes in the Google Chrome software. The methods that we test are predicted to be functionally important with respect to a functionality of the software. The authors use network analysis applied to dynamic analysis data generated by the software to make these predictions. They check the validity of these predictions by mutation testing of a large number of mutated variants of the Google Chrome. The chapter provides details of how to set up the testing process on the cloud and discusses relevant technical issues.

scholarly journals An evaluation of source apportionment of fine OC and PM2.5 by multiple methods: APHH-Beijing campaigns as a case study

2021 ◽  
Author(s):  
Jingsha Xu ◽  
Deepchandra Srivastava ◽  
Xuefang Wu ◽  
Siqi Hou ◽  
Tuan V. Vu ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Multiple Source ◽  
Multiple Methods ◽  
Apportionment Methods

This paper reports an evaluation of multiple source apportionment methods for OC and PM2.5.

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