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Sökning: LAR1:gu > Blekinge Tekniska Högskola

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  • Afzal, Wasif, et al. (författare)
  • An experiment on the effectiveness and efficiency of exploratory testing
  • 2015
  • Ingår i: Empirical Software Engineering. - Springer. - 1382-3256. ; 20:3, s. 844-878
  • Tidskriftsartikel (refereegranskat)abstract
    • The exploratory testing (ET) approach is commonly applied in industry, but lacks scientific research. The scientific community needs quantitative results on the performance of ET taken from realistic experimental settings. The objective of this paper is to quantify the effectiveness and efficiency of ET vs. testing with documented test cases (test case based testing, TCT). We performed four controlled experiments where a total of 24 practitioners and 46 students performed manual functional testing using ET and TCT. We measured the number of identified defects in the 90-minute testing sessions, the detection difficulty, severity and types of the detected defects, and the number of false defect reports. The results show that ET found a significantly greater number of defects. ET also found significantly more defects of varying levels of difficulty, types and severity levels. However, the two testing approaches did not differ significantly in terms of the number of false defect reports submitted. We conclude that ET was more efficient than TCT in our experiment. ET was also more effective than TCT when detection difficulty, type of defects and severity levels are considered. The two approaches are comparable when it comes to the number of false defect reports submitted.
  • Afzal, Wasif, et al. (författare)
  • Prediction of faults-slip-through in large software projects: An empirical evaluation
  • 2014
  • Ingår i: Software quality journal. - 0963-9314. ; 22:1, s. 51-86
  • Tidskriftsartikel (refereegranskat)abstract
    • A large percentage of the cost of rework can be avoided by finding more faults earlier in a software test process. Therefore, determination of which software test phases to focus improvement work on has considerable industrial interest. We evaluate a number of prediction techniques for predicting the number of faults slipping through to unit, function, integration, and system test phases of a large industrial project. The objective is to quantify improvement potential in different test phases by striving toward finding the faults in the right phase. The results show that a range of techniques are found to be useful in predicting the number of faults slipping through to the four test phases; however, the group of search-based techniques (genetic programming, gene expression programming, artificial immune recognition system, and particle swarm optimization-based artificial neural network) consistently give better predictions, having a representation at all of the test phases. Human predictions are consistently better at two of the four test phases. We conclude that the human predictions regarding the number of faults slipping through to various test phases can be well supported by the use of search-based techniques. A combination of human and an automated search mechanism (such as any of the search-based techniques) has the potential to provide improved prediction results.
  • Afzal, Wasif, et al. (författare)
  • Towards benchmarking feature subset selection methods for software fault prediction
  • 2016
  • Ingår i: Studies in Computational Intelligence. - Springer. - 978-3-319-25964-2 ; s. 33-58
  • Bokkapitel (övrigt vetenskapligt)abstract
    • Despite the general acceptance that software engineering datasets often contain noisy, irrelevant or redundant variables, very few benchmark studies of feature subset selection (FSS) methods on real-life data from software projects have been conducted. This paper provides an empirical comparison of state-of-the-art FSS methods: information gain attribute ranking (IG); Relief (RLF); principal component analysis (PCA); correlation-based feature selection (CFS); consistencybased subset evaluation (CNS); wrapper subset evaluation (WRP); and an evolutionary computation method, genetic programming (GP), on five fault prediction datasets from the PROMISE data repository. For all the datasets, the area under the receiver operating characteristic curve—the AUC value averaged over 10-fold cross-validation runs—was calculated for each FSS method-dataset combination before and after FSS. Two diverse learning algorithms, C4.5 and naïve Bayes (NB) are used to test the attribute sets given by each FSS method. The results show that although there are no statistically significant differences between the AUC values for the different FSS methods for both C4.5 and NB, a smaller set of FSS methods (IG, RLF, GP) consistently select fewer attributes without degrading classification accuracy. We conclude that in general, FSS is beneficial as it helps improve classification accuracy of NB and C4.5. There is no single best FSS method for all datasets but IG, RLF and GP consistently select fewer attributes without degrading classification accuracy within statistically significant boundaries. © Springer International Publishing Switzerland 2016.
  • Alahyari, Hiva, et al. (författare)
  • A study of value in agile software development organizations
  • 2017
  • Ingår i: Journal of Systems and Software. - 0164-1212. ; 125, s. 271-288
  • Tidskriftsartikel (refereegranskat)abstract
    • The Agile manifesto focuses on the delivery of valuable software. In Lean, the principles emphasise value, where every activity that does not add value is seen as waste. Despite the strong focus on value, and that the primary critical success factor for software intensive product development lies in the value domain, no empirical study has investigated specifically what value is. This paper presents an empirical study that investigates how value is interpreted and prioritised, and how value is assured and measured. Data was collected through semi-structured interviews with 23 participants from 14 agile software development organisations. The contribution of this study is fourfold. First, it examines how value is perceived amongst agile software development organisations. Second, it compares the perceptions and priorities of the perceived values by domains and roles. Third, it includes an examination of what practices are used to achieve value in industry, and what hinders the achievement of value. Fourth, it characterises what measurements are used to assure, and evaluate value-creation activities.
  • Aurum, Aybüke, et al. (författare)
  • Increasing the understanding of effectiveness in software inspections using published data sets
  • 2005
  • Tidskriftsartikel (refereegranskat)abstract
    • Since its inception into software engineering software inspection has been viewed as a cost-effective way of increasing software quality. Despite this many questions remain unanswered regarding, for example, ideal team size or cost effectiveness. This paper addresses some of these questions by performing an analysis using 30 published data sets from empirical experiments of software inspections. The main question is concerned with determining a suitable team size for software inspections. The effectiveness of different team sizes is also studied. Furthermore, the differences in mean effectiveness between different team sizes are investigated based on the inspection environmental context, document types and reading technique. It is concluded that it is possible to choose a suitable team size based on the effectiveness of inspections. This can be used as a tool to assist in the planning of inspections. A particularly interesting result is that variation in the effectiveness between different teams is considerably higher for certain types of documents than for others. Our findings contain important information for anyone planning, controlling or managing software inspections.
  • Berggren, Magnus, et al. (författare)
  • Analysis of how the noise level depends on different activities in a child day-care center
  • 2008
  • Ingår i: The 2008 Congress and Exposition of Noise Control Engineering, Inter-Noise, 2008 26-29 Oct, Shanghai, China. ; 5 pages
  • Konferensbidrag (refereegranskat)abstract
    • In child day-care centers the noise level can rise to high levels and in some cases become so high that the people present risk hearing damage. The purpose of this investigation was to study how the noise level depends on the different activities during the day. The study was performed at a child day-care center and 6 children and 5 adult female teachers participated. The participants had a microphone attached next to the ear connected to a wearable digital recorder. A total of 32.5 hours of data was recorded. By listening tests the recorded data could be sorted by activity and by number of people present in the same room as the test subject. Activities were classified as belonging to one of the following: outdoor activity, indoor play, singing, storytelling and gathering. Further, by listening, the data was classified in small group/large group (3 or less/more than 3). The results show that the average noise level (LAeq) for outdoor activity was the highest and was measured to 88.1 dBA (average over 7h52min). Singing was 81.5 dBA (1h26min), indoor play 81.3 dBA (19h21min), storytelling 76.6 dBA (1h09min) and gathering 75.0 dBA (2h44min). The noise level difference between all activities except between singing and indoor play and gathering and storytelling could be verified using t-test (p<0.001). Further, the results showed that the average noise level was 86.6 dBA (14h11min) for the large group and 79.6 dBA (18h21min) for the small group. This difference, of 7.0 dB was statistically validated (p<0.001) using t-test.
  • Berntsson Svensson, Richard, et al. (författare)
  • Is role playing in Requirements Engineering Education increasing learning outcome?
  • 2017
  • Ingår i: Requirements Engineering. - Springer. - 0947-3602. ; 22:4, s. 475-489
  • Tidskriftsartikel (refereegranskat)abstract
    • Requirements Engineering has attracted a great deal of attention from researchers and practitioners in recent years. This increasing interest requires academia to provide students with a solid foundation in the subject matter. In Requirements Engineering Education (REE), it is important to cover three fundamental topics: traditional analysis and modeling skills, interviewing skills for requirements elicitation, and writing skills for specifying requirements. REE papers report about using role playing as a pedagogical tool; however, there is a surprising lack of empirical evidence on its utility. In this paper we investigate whether a higher grade in a role playing project have an effect on students’ score in an individual written exam in a Requirements Engineering course. Data are collected from 412 students between the years of 2007 and 2014 at Lund University and Chalmers
  • Berntsson Svensson, Richard, 1978-, et al. (författare)
  • Selecting creativity techniques for creative requirements: An evaluation of four techniques using creativity workshops
  • 2015
  • Ingår i: 23rd IEEE International Requirements Engineering Conference, RE 2015, Ottawa, Canada, 24-28 August. - 978-146736905-3 ; s. 66-75
  • Konferensbidrag (refereegranskat)abstract
    • Requirements engineering is recognized as a creative process where stakeholders jointly discover new creative ideas for innovative and novel products that eventually are expressed as requirements. This paper evaluates four different creativity techniques, namely Hall of Fame, Constraint Removal, Brainstorming, and Idea Box, using creativity workshops with students and industry practitioners. In total, 34 creativity workshops were conducted with 90 students from two universities, and 86 industrial practitioners from six companies. The results from this study indicate that Brainstorming can generate by far the most ideas, while Hall of Fame generates most creative ideas. Idea Box generates the least number of ideas, and the least number of creative ideas. Finally, Hall of Fame was the technique that led to the most number of requirements that was included in future releases of the products.
  • Borgh, Markus, et al. (författare)
  • The effect of own voice on noise dosimeter measurements. A field study in a day-care center environment, including adults and children
  • 2008
  • Ingår i: The 2008 Congress and Exposition of Noise Control Engineering, Inter-Noise, 2008 26-29 Oct, Shanghai, China. ; 6 pages
  • Konferensbidrag (refereegranskat)abstract
    • Noise dosimeters are valuable tools in assessing the individual noise dose in the workplace. At non-industrial work places with a high degree of communication, such measurements would include the wearer’s own voice which would be registered as noise. This may not always be desirable. The purpose of this investigation was to study the effect of the wearers own voice in noise dosimeter measurements, and especially the difference between children and adults as test subjects. The study took place at a day-care center and sixteen children and thirteen adult female preschool teachers participated. The participants wore a digital recorder during the day, which recorded the sound signal and vibrations originating from an accelerometer attached to the neck of the test subjects, for distinguishing of whether the subject was speaking or not. Thus, average A-weighted noise levels with and without the influence of the subjects own voice could be obtained. The Leq for the measurements with and without the own voice was 84.6 dBA and 72.2 dBA for the children, respectively, and 79.3 dBA and 70.0 dBA for adults. Student’s t-test showed a significant (p<0.01) difference of 12.4 dBA for children and 9.3 dBA for adults when comparing measurements including and excluding the own voice and also that the difference was significantly larger for children. Thus, the study conclude that the influence from the own voice implied an augmentation of the Leq value and that there is a significant difference between children and adults in how large this augmentation is.
  • Edison, Henry, et al. (författare)
  • Towards innovation measurement in the software industry
  • 2013
  • Ingår i: Journal of Systems and Software. - Elsevier. - 0164-1212. ; 86:5, s. 1390-1407
  • Tidskriftsartikel (refereegranskat)abstract
    • In today's highly competitive business environments with shortened product and technology life cycle, it is critical for software industry to continuously innovate. This goal can be achieved by developing a better understanding and control of the activities and determinants of innovation. Innovation measurement initiatives assess innovation capability, output and performance to help develop such an understanding. This study explores various aspects relevant to innovation measurement ranging from definitions, measurement frameworks and metrics that have been proposed in literature and used in practice. A systematic literature review followed by an online questionnaire and interviews with practitioners and academics were employed to identify a comprehensive definition of innovation that can be used in software industry. The metrics for the evaluation of determinants, inputs, outputs and performance were also aggregated and categorised. Based on these findings, a conceptual model of the key measurable elements of innovation was constructed from the findings of the systematic review. The model was further refined after feedback from academia and industry through interviews.
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