Systematic Functional Testing with Decision Table
Authors: 
Gilmar F. Arantes, Diogo M. de Freitas, Plínio S. Leitão-Júnior, 
Auri M. R. VincenziAuthors Info & Claims
Article No.: 12, Pages 1 - 10
Abstract
Context. In view of the high impact that the test activity has to the cost of software development and the great popularity of Functional Testing Techniques, it is observed that it is necessary to seek strategies that reduce the cost associated with testing without significant loss of quality. Purpose. To introduce an evolution of the method Functional Systematic Test (TFS), the Functional Test Systematic table-Decision (TFS-TD), and to compare the efficiency and effectiveness of both by using programs that are simple and available on LINUX distributions. Methodology. It is a quantitative, descriptive and case studies research, for the evaluation of TFS and TFS-TD methods and its comparison. Results. Guidelines and an iterative process for the application of TFS-TD were defined. Also, through the case studies, the effectiveness and efficiency of the method was quantified and confronted to the TFS method. Conclusions. The case studies revealed that the TFS-TD presents considerable savings in test cases with minimal loss in quality.
References
[1]
J. Andrews, L. Briand, and Y. Labiche. Is mutation an appropriate tool for testing experiments? {software testing}. In Software Engineering, 2005. ICSE 2005. Proceedings. 27th International Conference on, pages 402--411, May 2005.
[2]
G. Arantes, P. Leitão Júnior, A. Vincenzi, and F. Lucena. Functional software testing: A systematic mapping study. In Eighth International Conference on Software Engineering Advances (ICSEA), pages 11--17, Venice, Italy, 2013.
[3]
L. Copeland. A Practitioner's Guide to Software Test Design. Artech House Publishers, Boston, 2003.
[4]
R. Demillo, R. Lipton, and F. Sayward. Hints on test data selection: Help for the practicing programmer. Computer, 11(4):34--41, April 1978.
[5]
E. L. Jones. Automated support for test-driven specification, nov. 2005.
[6]
S. Linkman, A. M. R. Vincenzi, and J. C. Maldonado. An evaluation of systematic functional testing using mutation testing. 7th International Conference on Empirical Assessment in Software Engineering {EASE. {S.l.: s.n.}}, 2003.
[7]
I. Sharma, J. Kaur, and M. Sahni. A test case prioritization approach in regression testing. International Journal of Computer Science and Mobile Computing, 3:607--614, 2014.
[8]
M. Sharma and B. Chandra. Automatic generation of test suites from decision table - theory and implementation. In Software Engineering Advances (ICSEA), 2010 Fifth International Conference on, pages 459--464, 2010.
[9]
A. R. Vidal. Teste funcional sistemático estendido: Uma contribuição na aplicação de critérios de teste caixa-preta. Master's thesis, Universidade Federal de Goiás, Goiânia, 2011.
[10]
K. Vij and W. Feng. Boundary value analysis using divide-and-rule approach. In Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on, pages 70--75, 2008.
Recommendations
Testing within Constraints: a Practical Approach
SAST '16: Proceedings of the 1st Brazilian Symposium on Systematic and Automated Software TestingBeing able to assure and evaluate system functionality and reliability is essential when we consider the concept of software quality. Although the concept of quality is broader, all the other criteria are secondary if a system fails performing its ...
Evolutionary functional testing
The development and testing of software-based systems is an essential activity for the automotive industry. The 50-70 software-based systems with different complexities and developed by various suppliers are installed in today's premium vehicles, ...
Lazy Systematic Unit Testing: JWalk versus JUnit
TAICPART-MUTATION '07: Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATIONLazy systematic unit testing with JWalk is compared against regression testing with JUnit, the leading agile testing tool. JWalk produced exhaustive test sets more quickly and recalculated full state and transition coverage, when testing modified or ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
September 2016
154 pages
ISBN:9781450347662
DOI:10.1145/2993288
Copyright © 2016 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
In-Cooperation
- SBC: Sociedade Brasileira de Computação
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 19 September 2016
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
SAST '16
SAST '16: 1st Brazilian Symposium on Systematic and Automated Software Testing
September 19 - 20, 2016
Parana, Maringa, Brazil
Acceptance Rates
SAST '16 Paper Acceptance Rate 15 of 34 submissions, 44%;
Overall Acceptance Rate 45 of 92 submissions, 49%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 151Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)2
Reflects downloads up to 25 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in