| 1. |
- Adams, Liz, et al.
(författare)
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What It's Like to Participate in an ITiCSE Working Group
- 2011
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Ingår i: ACM SIGCSE Bulletin. - : ACM Press. - 0097-8418. ; 43:1
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Have you ever participated in a working group at ITiCSE? No? Then you have missed a great opportunity to meet and work with a group of like-minded educators on a topic of common interest. The actual meeting at ITiCSE translates to hard work, but also a lot of fun.
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| 2. |
- Adams, Robin, et al.
(författare)
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What is the word for 'Engineering' in Swedish : Swedish students conceptions of their discipline
- 2007
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Rapport (övrigt vetenskapligt/konstnärligt)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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| 3. |
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| 4. |
- Bennin, Kwabena Ebo, et al.
(författare)
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An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction
- 2022
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Ingår i: IET Software. - : John Wiley & Sons. - 1751-8806 .- 1751-8814. ; 16:2, s. 185-199
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Tidskriftsartikel (refereegranskat)abstract
- Cross‐project defect prediction (CPDP), where data from different software projects are used to predict defects, has been proposed as a way to provide data for software projects that lack historical data. Evaluations of CPDP models using the Nearest Neighbour (NN)Filter approach have shown promising results in recent studies. A key challenge with defect‐prediction datasets is class imbalance, that is, highly skewed datasets where nonbuggy modules dominate the buggy modules. In the past, data resampling approaches have been applied to within‐projects defect prediction models to help alleviate the negative effects of class imbalance in the datasets. To address the class imbalance issue in CPDP, the authors assess the impact of data resampling approaches on CPDP models after the NN Filter is applied. The impact on prediction performance of five oversampling approaches (MAHAKIL, SMOTE, Borderline‐SMOTE, Random Oversamplingand ADASYN) and three undersampling approaches (Random Undersampling, Tomek Links and One‐sided selection) is investigated and results are compared to approaches without data resampling. The authors examined six defect prediction models on34 datasets extracted from the PROMISE repository. The authors' results show that there is a significant positive effect of data resampling on CPDP performance, suggesting that software quality teams and researchers should consider applying data resampling approaches for improved recall (pd) and g‐measure prediction performance. However, if the goal is to improve precision and reduce false alarm (pf) then data resampling approaches should be avoided.
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| 5. |
- Bennin, Kwabena Ebo, 1987-, et al.
(författare)
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Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance
- 2020
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Ingår i: Proceedings - 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS 2020. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728189130 ; , s. 53-59
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Konferensbidrag (refereegranskat)abstract
- The performance of software defect prediction(SDP) models is known to be dependent on the datasets used for training the models. Evolving data in a dynamic software development environment such as significant refactoring and organizational changes introduces new concept to the prediction model, thus making improved classification performance difficult. In this study, we investigate and assess the existence and impact of concept drift on SDP performances. We empirically asses the prediction performance of five models by conducting cross-version experiments using fifty-five releases of five open-source projects. Prediction performance fluctuated as the training datasets changed over time. Our results indicate that the quality and the reliability of defect prediction models fluctuate over time and that this instability should be considered by software quality teams when using historical datasets. The performance of a static predictor constructed with data from historical versions may degrade over time due to the challenges posed by concept drift. © 2020 IEEE.
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| 6. |
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| 7. |
- Betz, Stefanie, et al.
(författare)
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An Evolutionary Perspective on Socio-Technical Congruence:The Rubber Band Effect
- 2013
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Ingår i: International Symposium on Empirical Software Engineering and Measurement. - Baltimore : IEEE Xplore.
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Konferensbidrag (refereegranskat)abstract
- Conway’s law assumes a strong association between the system’s architecture and the organization’s communication structure that designs it. In the light of contemporary software development, when many companies rely on geographically distributed teams, which often turn out to be temporarily composed and thus having an often changing communication structure, the importance of Conway’s law and its inspired work grows. In this paper, we examine empirical research related to Conway’s law and its application for cross-site coordination. Based on the results obtained we conjecture that changes in the communication structure alone sooner or later trigger changes in the design structure of the software products to return the sociotechnical system into the state of congruence. This is further used to formulate a concept of a rubber band effect and propose a replication study that goes beyond the original idea of Conway’s law by investigating the evolution of socio-technical congruence over time.
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| 8. |
- Britto, Ricardo, 1982-, et al.
(författare)
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An Empirical Investigation on Effort Estimation in Agile Global Software Development
- 2015
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Ingår i: Proceedings of the 2015 IEEE 10th International Conference on Global Software Engineering. - 9781479984091 ; , s. 38-45
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Konferensbidrag (refereegranskat)abstract
- Effort estimation is a project management activity that is mandatory for the execution of softwareprojects. Despite its importance, there have been just a few studies published on such activities within the Agile Global Software Development (AGSD) context. Their aggregated results were recently published as part of a secondary study that reported the state of the art on effort estimationin AGSD. This study aims to complement the above-mentioned secondary study by means of anempirical investigation on the state of the practice on effort estimation in AGSD. To do so, a survey was carried out using as instrument an on-line questionnaire and a sample comprising softwarepractitioners experienced in effort estimation within the AGSD context. Results show that the effortestimation techniques used within the AGSD and collocated contexts remained unchanged, with planning poker being the one employed the most. Sourcing strategies were found to have no or a small influence upon the choice of estimation techniques. With regard to effort predictors, globalchallenges such as cultural and time zone differences were reported, in addition to factors that are commonly considered in the collocated context, such as team experience. Finally, many challenges that impact the accuracy of the effort estimates were reported by the respondents, such as problems with the software requirements and the fact that the communication effort between sites is not properly accounted.
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| 9. |
- Britto, Ricardo, 1982-, et al.
(författare)
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Evaluating and strategizing the onboarding of software developers in large-scale globally distributed projects
- 2020
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Ingår i: Journal of Systems and Software. - : Elsevier Inc.. - 0164-1212 .- 1873-1228. ; 169
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Tidskriftsartikel (refereegranskat)abstract
- The combination of scale and distribution in software projects makes the onboarding of new developers problematic. To the best of our knowledge, there is no research on the relationship between onboarding strategies and the performance evolution of newcomers in large-scale, globally distributed projects. Furthermore, there are no approaches to support the development of strategies to systematically onboard developers. In this paper, we address these gaps by means of an industrial case study. We identified that the following aspects seem to be related to the observed onboarding results: the distance to mentors, the formal training approach used, the allocation of large and distributed tasks in the early stages of the onboarding process, and team instability. We conclude that onboarding must be planned well ahead and should consider avoiding the aspects mentioned above. Based on the results of this investigation, we propose a process to strategize and evaluate onboarding. To develop the process, we used business process modeling. We conducted a static validation of the proposed process utilizing interviews with experts. The static validation of the process indicates that it can help companies to deal with the challenges associated with the onboarding of newcomers through more systematic, effective, and repeatable onboarding strategies. © 2020 Elsevier Inc.
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| 10. |
- Britto, Ricardo, 1982-, et al.
(författare)
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Learning and Performance Evolution of Immature Remote Teams in Large-ScaleSoftware Projects : An Industrial Case Study
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Context: Large-scale distributed software projects with long life cycles often involve a considerable amount ofcomplex legacy code. The combination of scale and distribution challenges, and the diculty to acquire knowledgeabout large amounts of complex legacy code may make the onboarding of new developers/teams problematic. Thismay lead to extended periods of low performance.Objective: The main objective of this paper is to analyze the learning processes and performance evolutions (teamproductivity and team autonomy) of remote software development teams added late to a large-scale legacy softwareproduct development, and to propose recommendations to support the learning of remote teams.Method: We conducted a case study in Ericsson, collecting data through archival research, semi-structured interviews,and workshops. We analyzed the collected data using descriptive, inferential and graphical statistics and softqualitative analysis.Results: The results show that the productivity and autonomy of immature remote teams are on average 3.67 and2.27 times lower than the ones of mature teams, respectively. Furthermore, their performance had a steady increaseduring almost the entire first year and dropped (productivity) or got stagnated (autonomy) for a great part of the secondyear. In addition to these results, we also identified four challenges that aected the learning process and performanceevolution of immature remote teams: complexity of the product and technology stack, distance to the main source ofproduct knowledge, lack of team stability, and training expectation misalignment.Conclusion: The results indicate that scale, distribution and complex legacy code may make learning more dicultand demand a long period to achieve high performance. To support the learning of remote teams, we put forward fiverecommendations. We believe that our quantitative analysis, as well as the identified factors and recommendationscan help other companies to onboard new remote teams in large-scale legacy product development projects.
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