| 1. |
- Abarkan, Abdellah
(author)
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The study of urban form in Sweden
- 2009
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In: Urban Morphology. - : INT SEMINAR URBAN FORM. - 1027-4278. ; 13:2, s. 121-127
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Journal article (peer-reviewed)abstract
- Early research on urban form in Sweden was undertaken before the First World War. After the Second World War research was influenced by the major criticisms levelled at comprehensive urban renewal and suburban mass housing. These criticisms were particularly on the ground that values embodied in the traditional built environment were being ignored. Increased interest in the study of historical urban fabrics was associated with the development of methodologies reliant on the concepts of typology and morphology. These development were dependent on the activities of individual researchers until the very recent development of wider co-ordinating research organizations.
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| 2. |
- Adams, Robin, et al.
(author)
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What is the word for 'Engineering' in Swedish : Swedish students conceptions of their discipline
- 2007
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Reports (other academic/artistic)abstract
- Engineering education in Sweden – as in the rest of the world – is experiencing a decline in student interest. There are concerns about the ways in which students think about engineering education, why they join an academic programme in engineering, and why they persist in their studies. In this context the aims of the Nationellt ämnesdidaktiskt Centrum för Teknikutbildning i Studenternas Sammanhang project (CeTUSS) is to investigate the student experience and to identify and support a continuing network of interested researchers, as well as in building capacity for disciplinary pedagogic investigation. The Stepping Stones project brings together these interests in a multi-researcher, multi-institutional study that investigates how tudents and academic staff perceive engineering in Sweden and in Swedish education. The first results of that project are reported here. As this study is situated uniquely in Swedish education, it allows for exploration of “a Swedish perspective” on conceptions of engineering. The Stepping Stones project was based on a model of research capacity-building previously instantiated in the USA and Australia (Fincher & Tenenberg, 2006).
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| 5. |
- Afzal, Wasif, et al.
(author)
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A Comparative Evaluation of Using Genetic Programming for Predicting Fault Count Data
- 2008
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In: Proceedings - The 3rd International Conference on Software Engineering Advances, ICSEA 2008, Includes ENTISY 2008: International Workshop on Enterprise Information Systems. - : IEEE. - 9780769533728 ; , s. 407-414
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Conference paper (peer-reviewed)abstract
- There have been a number of software reliability growth models (SRGMs) proposed in literature. Due to several reasons, such as violation of models' assumptions and complexity of models, the practitioners face difficulties in knowing which models to apply in practice. This paper presents a comparative evaluation of traditional models and use of genetic programming (GP) for modeling software reliability growth based on weekly fault count data of three different industrial projects. The motivation of using a GP approach is its ability to evolve a model based entirely on prior data without the need of making underlying assumptions. The results show the strengths of using GP for predicting fault count data.
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| 7. |
- Afzal, Wasif, et al.
(author)
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A systematic review of search-based testing for non-functional system properties
- 2009
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In: Information and Software Technology. - : Butterworth-Heinemann Newton, MA, USA. - 0950-5849 .- 1873-6025. ; 51:6, s. 957-976
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Journal article (peer-reviewed)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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| 8. |
- Afzal, Wasif, et al.
(author)
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Incorporating Metrics in an Organizational Test Strategy
- 2008
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In: International Conference on Software Testing, Verification and Validation. - : IEEE. - 9780769533889 ; , s. 304-315
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Conference paper (peer-reviewed)abstract
- An organizational level test strategy needs to incorporate metrics to make the testing activities visible and available to process improvements. The majority of testing measurements that are done are based on faults found in the test execution phase. In contrast, this paper investigates metrics to support software test planning and test design processes. We have assembled metrics in these two process types to support management in carrying out evidence-based test process improvements and to incorporate suitable metrics as part of an organization level test strategy. The study is composed of two steps. The first step creates a relevant context by analyzing key phases in the software testing lifecycle, while the second step identifies the attributes of software test planning and test design processes along with metric(s) support for each of the identified attributes.
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| 9. |
- Afzal, Wasif, et al.
(author)
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Lessons from applying experimentation in software engineering prediction systems
- 2008
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In: Proceedings of The 2nd International workshop on Software Productivity Analysis and Cost Estimation (SPACE'08), Collocated with 15th Asia-Pacific Software Engineering Conference. - Beijing : State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences.
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Conference paper (peer-reviewed)abstract
- Within software engineering prediction systems, experiments are undertaken primarliy to investigate relationships and to measure/compare models' accuracy. This paper discusses our experience and presents useful lessons/guidelines in experimenting with software engineering prediction systems. For this purpose, we use a typical software engineering experimentation process as a baseline. We found that the typical software engineering experimentation process in software engineering is supportive in developing prediction systems and have highlighted issues more central to the domain of software engineering prediction systems.
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| 10. |
- Afzal, Wasif, et al.
(author)
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Prediction of fault count data using genetic programming
- 2008
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In: IEEE INMIC 2008: 12th IEEE International Multitopic Conference - Conference Proceedings. - Karachi, Pakistan : IEEE. ; , s. 349-356
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Conference paper (peer-reviewed)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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