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| 2. |
- Afzal, Wasif, et al.
(författare)
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A systematic mapping study on non-functional search-based software testing
- 2008
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Ingår i: 20th International Conference on Software Engineering and Knowledge Engineering.
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Konferensbidrag (refereegranskat)abstract
- Automated software test generation has been applied across the spectrum of test case design methods; this includes white-box (structural), black-box (functional), greybox (combination of structural and functional) and nonfunctional testing. In this paper, we undertake a systematic mapping study to present a broad review of primary studies on the application of search-based optimization techniques to non-functional testing. The motivation is to identify the evidence available on the topic and to identify gaps in the application of search-based optimization techniques to different types of non-functional testing. The study is based on a comprehensive set of 35 papers obtained after using a multi-stage selection criteria and are published in workshops, conferences and journals in the time span 1996–2007. We conclude that the search-based software testing community needs to do more and broader studies on nonfunctional search-based software testing (NFSBST) and the results from our systematic map can help direct such efforts.
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| 3. |
- Afzal, Wasif, et al.
(författare)
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A systematic review of search-based testing for non-functional system properties
- 2009
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Ingår i: Information and Software Technology. - : Butterworth-Heinemann Newton, MA, USA. - 0950-5849 .- 1873-6025. ; 51:6, s. 957-976
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Tidskriftsartikel (refereegranskat)abstract
- Search-based software testing is the application of metaheuristic search techniques to generate software tests. The test adequacy criterion is transformed into a fitness function and a set of solutions in the search space are evaluated with respect to the fitness function using a metaheuristic search technique. The application of metaheuristic search techniques for testing is promising due to the fact that exhaustive testing is infeasible considering the size and complexity of software under test. Search-based software testing has been applied across the spectrum of test case design methods; this includes white-box (structural), black-box (functional) and grey-box (combination of structural and functional) testing. In addition, metaheuristic search techniques have also been applied to test non-functional properties. The overall objective of undertaking this systematic review is to examine existing work into non-functional search-based software testing (NFSBST). We are interested in types of non-functional testing targeted using metaheuristic search techniques, different fitness functions used in different types of search-based non-functional testing and challenges in the application of these techniques. The systematic review is based on a comprehensive set of 35 articles obtained after a multi-stage selection process and have been published in the time span 1996-2007. The results of the review show that metaheuristic search techniques have been applied for non-functional testing of execution time, quality of service, security, usability and safety. A variety of metaheuristic search techniques are found to be applicable for non-functional testing including simulated annealing, tabu search, genetic algorithms, ant colony methods, grammatical evolution, genetic programming (and its variants including linear genetic programming) and swarm intelligence methods. The review reports on different fitness functions used to guide the search for each of the categories of execution time, safety, usability, quality of service and security; along with a discussion of possible challenges in the application of metaheuristic search techniques.
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| 4. |
- Afzal, Wasif, et al.
(författare)
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Prediction of fault count data using genetic programming
- 2008
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Ingår i: IEEE INMIC 2008: 12th IEEE International Multitopic Conference - Conference Proceedings. - Karachi, Pakistan : IEEE. ; , s. 349-356
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Konferensbidrag (refereegranskat)abstract
- Software reliability growth modeling helps in deciding project release time and managing project resources. A large number of such models have been presented in the past. Due to the existence of many models, the models' inherent complexity, and their accompanying assumptions; the selection of suitable models becomes a challenging task. This paper presents empirical results of using genetic programming (GP) for modeling software reliability growth based on weekly fault count data of three different industrial projects. The goodness of fit (adaptability) and predictive accuracy of the evolved model is measured using five different measures in an attempt to present a fair evaluation. The results show that the GP evolved model has statistically significant goodness of fit and predictive accuracy.
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| 5. |
- Afzal, Wasif, et al.
(författare)
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Search-based prediction of fault count data
- 2009
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Ingår i: Proceedings - 1st International Symposium on Search Based Software Engineering, SSBSE 2009. - Windsor : IEEE Computer Society. - 9780769536750 ; , s. 35-38
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Konferensbidrag (refereegranskat)abstract
- Symbolic regression, an application domain of genetic programming (GP), aims to find a function whose output has some desired property, like matching target values of a particular data set. While typical regression involves finding the coefficients of a pre-defined function, symbolic regression finds a general function, with coefficients, fitting the given set of data points. The concepts of symbolic regression using genetic programming can be used to evolve a model for fault count predictions. Such a model has the advantages that the evolution is not dependent on a particular structure of the model and is also independent of any assumptions, which are common in traditional time-domain parametric software reliability growth models. This research aims at applying experiments targeting fault predictions using genetic programming and comparing the results with traditional approaches to compare efficiency gains.
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| 6. |
- Axelsson, Stefan, et al.
(författare)
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Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning
- 2009
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Konferensbidrag (refereegranskat)abstract
- Code review is often suggested as a means of improving code quality. Since humans are poor at repetitive tasks, some form of tool support is valuable. To that end we developed a prototype tool to illustrate the novel idea of applying machine learning (based on Normalised Compression Distance) to the problem of static analysis of source code. Since this tool learns by example, it is rivially programmer adaptable. As machine learning algorithms are notoriously difficult to understand operationally (they are opaque) we applied information visualisation to the results of the learner. In order to validate the approach we applied the prototype to source code from the open-source project Samba and from an industrial, telecom software system. Our results showed that the tool did indeed correctly find and classify problematic sections of code based on training examples.
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| 9. |
- Dodig-Crnkovic, Gordana, et al.
(författare)
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Professional and Ethical Issues of Software Engineering Curriculum Applied in Swedish Academic Context
- 2009
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Konferensbidrag (refereegranskat)abstract
- The increasing dependence on computers for critical infrastructures essential for the functioning of a society and its economy has given rise to host of ethical, social, and legal issues. The ability to make sound ethical decisions is thus an important part of Computing and Software engineer’s professional skills. This paper argues for the significance of teaching professional, social and ethical issues in Software Engineering in a Swedish context and practice. Examples are presented of teaching materials and experiences from the course Professional Ethics in Science and Engineering at Malardalen University, and the PIFF project for support of Software Engineering Master Theses running at Malardalen University, Blekinge Institute of Technology and Lund University.
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| 10. |
- Feldt, Robert, et al.
(författare)
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Evolving the ECSS standards and their use : Experience based on industrial case studies
- 2009
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Konferensbidrag (refereegranskat)abstract
- This paper introduces two case studies conducted at two Swedish companies developing software for the space industry. The overall goal of the project is to evaluate if current use of ECSS is cost efficient and if there are ways to make the process leaner while maintaining quality. The case studies reported on here focused on how the ECSS standard was used by the companies and how that affected software development processes and software quality. This paper describes the results and recommendations based on identified challenges.
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