| 1. |
- Chatzipetrou, Panagiota, Assistant Professor, 1984-, et al.
(författare)
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Component selection in software engineering - Which attributes are the most important in the decision process?
- 2018
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Ingår i: Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. - : IEEE conference proceedings. - 9781538673829 ; , s. 198-205, s. 198-205
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Konferensbidrag (refereegranskat)abstract
- Component-based software engineering is a common approach to develop and evolve contemporary software systems where different component sourcing options are available: 1)Software developed internally (in-house), 2)Software developed outsourced, 3)Commercial of the shelf software, and 4) Open Source Software. However, there is little available research on what attributes of a component are the most important ones when selecting new components. The object of the present study is to investigate what matters the most to industry practitioners during component selection. We conducted a cross-domain anonymous survey with industry practitioners involved in component selection. First, the practitioners selected the most important attributes from a list. Next, they prioritized their selection using the Hundred-Dollar ($100) test. We analyzed the results using Compositional Data Analysis. The descriptive results showed that Cost was clearly considered the most important attribute during the component selection. Other important attributes for the practitioners were: Support of the component, Longevity prediction, and Level of off-the-shelf fit to product. Next, an exploratory analysis was conducted based on the practitioners' inherent characteristics. Nonparametric tests and biplots were used. It seems that smaller organizations and more immature products focus on different attributes than bigger organizations and mature products which focus more on Cost. .
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| 2. |
- Kasauli, Rashidah, et al.
(författare)
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Safety-Critical Systems and Agile Development: A Mapping Study
- 2018
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Ingår i: 44TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA 2018). - 1089-6503. - 9781538673836
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Konferensbidrag (refereegranskat)abstract
- Several studies report that the use of model-centric methods in the automotive domain is widespread and offers several benefits. However, existing work indicates that few modelling frameworks explicitly include requirements engineering (RE), and that natural language descriptions are still the status quo in RE. Therefore, we aim to increase the understanding of current and potential future use of models in RE, with respect to the automotive domain. In this paper, we report our findings from a multiple-case study with two automotive companies, collecting interview data from 14 practitioners. Our results show that models are used for a variety of different purposes during RE in the automotive domain, e.g., to improve communication and to handle complexity. However, these models are often used in an unsystematic fashion and restricted to few experts. A more widespread use of models is prevented by various challenges, most of which align with existing work on model use in a general sense. Furthermore, our results indicate that there are many potential benefits associated with future use of models during RE. Interestingly, existing research does not align well with several of the proposed use cases, e.g., restricting the use of models to informal notations for communication purposes. Based on our findings, we recommend a stronger focus on informal modelling and on using models for multi-disciplinary environments. Additionally, we see the need for future work in the area of model use, i.e., information extraction from models by non-expert modellers.
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| 3. |
- Mendes, Emilia, et al.
(författare)
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Realising Individual and Team Capability in Agile Software Development : A Qualitative Investigation
- 2018
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Ingår i: Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. - : IEEE. - 9781538673836 ; , s. 183-190
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Konferensbidrag (refereegranskat)abstract
- Several studies have shown that both individual and team capability can affect software development performance and project success; a deeper understating of such phenomena is crucial within the context of Agile Software Development (ASD), given that its workforce is a key source of agility. This paper contributes towards such understanding by means of a case study that uses data from 14 interviews carried out at a large telecommunications company, within the context of a mobile money transfer system developed in Sweden and India, to identify individual and team capability measures used to form productive teams. Our results identified 10 individual and five team capability measures, of which, respectively, five and four have not been previously characterised by a systematic literature review (SLR) on this same topic. Such review aggregated evidence for a total of 133 individual and 28 team capability measures. Further work entails extending our findings via interviewing other software/software-intensive industries practicing ASD.
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| 4. |
- Nadi, S., et al.
(författare)
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Using Self-healing to Increase Robustness of Handling In-Browser Third-Party Content
- 2018
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Ingår i: 44TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA 2018). - : IEEE. - 1089-6503. - 9781538673836
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Konferensbidrag (refereegranskat)abstract
- Monitoring of third-party content, such as ads, in web applications is one of the growing business areas in the web industry. In order to increase the impact of the ads and optimize the content on the web-page, companies measure which ads are displayed and how long they stay on the visible part of the screen. However, the challenge is that the third-party content can be of varying type, come from third-party servers or have active content. In this paper, we applied self-healing MAPE-K model in a monitor of the ads. Our results showed that the majority of faults could be repaired and that the resulting architecture is more maintainable than the one without self-healing; measured by architecture maintainability index. Therefore, we conclude that using self-healing can be applied to web-systems can increase both robustness and maintainability of these systems.
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| 5. |
- Osman, M. H., et al.
(författare)
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An Automated Approach for Classifying Reverse-engineered and Forward-engineered UML Class Diagrams
- 2018
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Ingår i: 44TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA 2018). - : IEEE. - 1089-6503. - 9781538673836
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Konferensbidrag (refereegranskat)abstract
- UML Class diagrams are commonly used to describe the designs of systems. Such designs can be used to guide the construction of software. In practice, we have identified two main types of using UML: i) FwCD refers to diagrams are hand-made as part of the forward-looking development process; ii) RECD refers to those diagrams that are reverse engineered from the source code; Recently, empirical studies in Software Engineering have started looking at open source projects. This enables the automated extraction and analysis of large sets of project-data. For researching the effects of UML modeling in open source projects, we need a way to automatically determine the way in which UML used in such projects. For this, we propose an automated classifier for deciding whether a diagram is an FwCD or an RECD. We present the construction of such a classifier by means of (supervised) machine learning algorithms. As part of its construction, we analyse which features are useful in classifying FwCD and RECD. By comparing different machine learning algorithms, we find that the Random Forest algorithm is the most suitable algorithm for our purpose. We evaluate the performance of the classifier on a test set of 999 class diagrams obtained from open source projects.
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