| 1. |
- Ding, Jianguo
(författare)
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Intrusion Detection, Prevention, and Response System (IDPRS) for Cyber-Physical Systems (CPSs)
- 2015
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Ingår i: Securing Cyber Physical Systems. - Boca Raton, US : Taylor & Francis Group. - 9781498700986 - 9781498700993 - 9780429091049 ; , s. 371-392
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Bokkapitel (refereegranskat)abstract
- Cyber-physical systems (CPSs) are integrated physical, engineered, andsocial systems whose operations are monitored, coordinated, controlled, and integratedby a computing and communication core. Due to the dynamic structure ofCPSs, the security measurements are often complex. Given this fact, the objectiveof this chapter is to present the intrusion detection, prevention, and response system(IDPRS) for such a dynamic environment.
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| 2. |
- Kebande, Victor R., 1985-, et al.
(författare)
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A blockchain-based multi-factor authentication model for a cloud-enabled internet of vehicles
- 2021
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Ingår i: Sensors. - : MDPI. - 1424-8220. ; 21:18
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Tidskriftsartikel (refereegranskat)abstract
- Continuous and emerging advances in Information and Communication Technology (ICT) have enabled Internet-of-Things (IoT)-to-Cloud applications to be induced by data pipelines and Edge Intelligence-based architectures. Advanced vehicular networks greatly benefit from these architectures due to the implicit functionalities that are focused on realizing the Internet of Vehicle (IoV) vision. However, IoV is susceptible to attacks, where adversaries can easily exploit existing vulnerabilities. Several attacks may succeed due to inadequate or ineffective authentication techniques. Hence, there is a timely need for hardening the authentication process through cutting-edge access control mechanisms. This paper proposes a Blockchain-based Multi-Factor authentication model that uses an embedded Digital Signature (MFBC_eDS) for vehicular clouds and Cloud-enabled IoV. Our proposed MFBC_eDS model consists of a scheme that integrates the Security Assertion Mark-up Language (SAML) to the Single Sign-On (SSO) capabilities for a connected edge to cloud ecosystem. MFBC_eDS draws an essential comparison with the baseline authentication scheme suggested by Karla and Sood. Based on the foundations of Karla and Sood’s scheme, an embedded Probabilistic Polynomial-Time Algorithm (ePPTA) and an additional Hash function for the Pi generated during Karla and Sood’s authentication were proposed and discussed. The preliminary analysis of the proposition shows that the approach is more suitable to counter major adversarial attacks in an IoV-centered environment based on the Dolev–Yao adversarial model while satisfying aspects of the Confidentiality, Integrity, and Availability (CIA) triad. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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| 3. |
- Marculescu, Bogdan, 1984, et al.
(författare)
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Transferring interactive search-based software testing to industry
- 2018
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Ingår i: Journal of Systems and Software. - : Elsevier BV. - 0164-1212 .- 1873-1228. ; 142, s. 156-170
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Tidskriftsartikel (refereegranskat)abstract
- Context: Search-Based Software Testing (SBST), and the wider area of Search-Based Software Engineering (SBSE), is the application of optimization algorithms to problems in software testing, and software engineering, respectively. New algorithms, methods, and tools are being developed and validated on benchmark problems. In previous work, we have also implemented and evaluated Interactive Search-Based Software Testing (ISBST) tool prototypes, with a goal to successfully transfer the technique to industry. Objective: While SBST and SBSE solutions are often validated on benchmark problems, there is a need to validate them in an operational setting, and to assess their performance in practice. The present paper discusses the development and deployment of SBST tools for use in industry, and reflects on the transfer of these techniques to industry. Method: In addition to previous work discussing the development and validation of an ISBST prototype, a new version of the prototype ISBST system was evaluated in the laboratory and in industry. This evaluation is based on an industrial System under Test (SUT) and was carried out with industrial practitioners. The Technology Transfer Model is used as a framework to describe the progression of the development and evaluation of the ISBST system, as it progresses through the first five of its seven steps. Results: The paper presents a synthesis of previous work developing and evaluating the ISBST prototype, as well as presenting an evaluation, in both academia and industry, of that prototype's latest version. In addition to the evaluation, the paper also discusses the lessons learned from this transfer. Conclusions: This paper presents an overview of the development and deployment of the ISBST system in an industrial setting, using the framework of the Technology Transfer Model. We conclude that the ISBST system is capable of evolving useful test cases for that setting, though improvements in the means the system uses to communicate that information to the user are still required. In addition, a set of lessons learned from the project are listed and discussed. Our objective is to help other researchers that wish to validate search-based systems in industry, and provide more information about the benefits and drawbacks of these systems.
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| 4. |
- Tuzun, Eray, et al.
(författare)
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Ground-Truth Deficiencies in Software Engineering : When Codifying the Past Can Be Counterproductive
- 2022
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Ingår i: IEEE Software. - : IEEE Computer Society. - 0740-7459 .- 1937-4194. ; 39:3, s. 85-95
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Tidskriftsartikel (refereegranskat)abstract
- In software engineering, the objective function of human decision makers might be influenced by many factors. Relying on historical data as the ground truth may give rise to systems that automate software engineering decisions by mimicking past suboptimal behavior. We describe the problem and offer some strategies. ©IEEE.
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| 5. |
- Bouhennache, Rafik, et al.
(författare)
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A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery
- 2019
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Ingår i: Geocarto International. - : Taylor & Francis Group. - 1010-6049 .- 1752-0762. ; 34:14, s. 1531-1551
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Tidskriftsartikel (refereegranskat)abstract
- Extracting built-up areas from remote sensing data like Landsat 8 satellite is a challenge. We have investigated it by proposing a new index referred as Built-up Land Features Extraction Index (BLFEI). The BLFEI index takes advantage of its simplicity and good separability between the four major component of urban system, namely built-up, barren, vegetation and water. The histogram overlap method and the Spectral Discrimination Index (SDI) are used to study separability. BLFEI index uses the two bands of infrared shortwaves, the red and green bands of the visible spectrum. OLI imagery of Algiers, Algeria, was used to extract built-up areas through BLFEI and some new previously developed built-up indices used for comparison. The water areas are masked out leading to Otsu’s thresholding algorithm to automatically find the optimal value for extracting built-up land from waterless regions. BLFEI, the new index improved the separability by 25% and the accuracy by 5%.
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| 6. |
- Chatzipetrou, Panagiota, 1984-, et al.
(författare)
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Approaching the Relative Estimation Concept with Planning Poker
- 2018
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Ingår i: CSERC '18 The 7th Computer Science Education Research Conference, Saint Petersburg, Russian Federation, October 10 - 12, 2018. - New York, NY, USA : ACM Digital Library. - 9781450366243 ; , s. 21-25
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Konferensbidrag (refereegranskat)abstract
- Simulation is a powerful instrument in the education process that can help students experience a reality context and understand complex concepts required to accomplish practitioners’ tasks. The present study aims to investigate the software engineering students’ perception about the usefulness of the Planning Poker technique in relation to their understanding of the relative estimation concept. We conducted a simulation exercise where students first estimated tasks applying the concepts of relative estimation based on the concepts explained in the lecture, and then to estimate tasks applying the Agile Planning Poker technique. To investigate the students’ perception, we used a survey at the end of each exercise. The preliminary results did not show statistical significance on the students’ confidence to estimate relatively the user stories. However, from the students’ comments and feedback, there are indications that students are more confident in using Agile Planning Poker when they are asked to estimate user stories. The study will be replicated in the near future to a different group of students with a different background, to have a better understanding and also identify possible flaws of the exercise.
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| 7. |
- Chatzipetrou, Panagiota, Assistant Professor, 1984-, et al.
(författare)
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When and who leaves matters : Emerging results from an empirical study of employee turnover
- 2018
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Ingår i: PROCEEDINGS OF THE 12TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2018). - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450358231
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Konferensbidrag (refereegranskat)abstract
- Background: Employee turnover in GSD is an extremely important issue, especially in Western companies offshoring to emerging nations. Aims: In this case study we investigated an offshore vendor company and in particular whether the employees' retention is related with their experience. Moreover, we studied whether we can identify a threshold associated with the employees' tendency to leave the particular company. Method: We used a case study, applied and presented descriptive statistics, contingency tables, results from Chi-Square test of association and post hoc tests. Results: The emerging results showed that employee retention and company experience are associated. In particular, almost 90% of the employees are leaving the company within the first year, where the percentage within the second year is 50-50%. Thus, there is an indication that the 2 years' time is the retention threshold for the investigated offshore vendor company. Conclusions: The results are preliminary and lead us to the need for building a prediction model which should include more inherent characteristics of the projects to aid the companies avoiding massive turnover waves. © 2018 ACM.
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| 8. |
- Klotins, Eriks, et al.
(författare)
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A progression model of software engineering goals, challenges, and practices in start-ups
- 2021
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Ingår i: IEEE Transactions on Software Engineering. - : IEEE. - 0098-5589 .- 1939-3520. ; 47:3, s. 498-521
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Tidskriftsartikel (refereegranskat)abstract
- Context: Software start-ups are emerging as suppliers of innovation and software-intensive products. However, traditional software engineering practices are not evaluated in the context, nor adopted to goals and challenges of start-ups. As a result, there is insufficient support for software engineering in the start-up context.Objective: We aim to collect data related to engineering goals, challenges, and practices in start-up companies to ascertain trends and patterns characterizing engineering work in start-ups. Such data allows researchers to understand better how goals and challenges are related to practices. This understanding can then inform future studies aimed at designing solutions addressing those goals and challenges. Besides, these trends and patterns can be useful for practitioners to make more informed decisions in their engineering practice.Method: We use a case survey method to gather first-hand, in-depth experiences from a large sample of software start-ups. We use open coding and cross-case analysis to describe and identify patterns, and corroborate the findings with statistical analysis.Results: We analyze 84 start-up cases and identify 16 goals, 9 challenges, and 16 engineering practices that are common among startups. We have mapped these goals, challenges, and practices to start-up life-cycle stages (inception, stabilization, growth, and maturity). Thus, creating the progression model guiding software engineering efforts in start-ups.Conclusions: We conclude that start-ups to a large extent face the same challenges and use the same practices as established companies. However, the primary software engineering challenge in start-ups is to evolve multiple process areas at once, with a little margin for serious errors.
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| 9. |
- Šmite, Darja, et al.
(författare)
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Spotify guilds
- 2020
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Ingår i: Communications of the ACM. - : Association for Computing Machinery (ACM). - 0001-0782 .- 1557-7317. ; 63:3, s. 58-61
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Tidskriftsartikel (refereegranskat)abstract
- With the increasing popularity of agile development and team-oriented practices, bottom-up coordination structures have found their ways into software companies, first changing the small companies and now revolutionizing large-scale development projects and programs. One of the ways to enable bottom-up coordination is cultivation of communities of practice. Existing research has demonstrated that successful implementation of communities of practice depends on organizational support, mutual engagement and regular interaction. Engagement is said to increase, when a community creates value for the organization and individual community members, while increased engagement is further associated with the ability to create more value. However, little is known about how to ensure member engagement in large-scale environments covering many sites and thousands of developers. In this article, we report our findings from studying member engagement in large-scale distributed communities of practice at Spotify called guilds. We report the perceived value guilds provide on individual and organizational level, and discuss what hinders and what stimulates mutual engagement and value creation across time and space.
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| 10. |
- Gomes, Francisco, 1987, et al.
(författare)
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Evolution of statistical analysis in empirical software engineering research : Current state and steps forward
- 2019
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Ingår i: Journal of Systems and Software. - : Elsevier Inc.. - 0164-1212 .- 1873-1228. ; 156, s. 246-267
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Tidskriftsartikel (refereegranskat)abstract
- Software engineering research is evolving and papers are increasingly based on empirical data from a multitude of sources, using statistical tests to determine if and to what degree empirical evidence supports their hypotheses. To investigate the practices and trends of statistical analysis in empirical software engineering (ESE), this paper presents a review of a large pool of papers from top-ranked software engineering journals. First, we manually reviewed 161 papers and in the second phase of our method, we conducted a more extensive semi-automatic classification of papers spanning the years 2001–2015 and 5196 papers. Results from both review steps was used to: i) identify and analyse the predominant practices in ESE (e.g., using t-test or ANOVA), as well as relevant trends in usage of specific statistical methods (e.g., nonparametric tests and effect size measures) and, ii) develop a conceptual model for a statistical analysis workflow with suggestions on how to apply different statistical methods as well as guidelines to avoid pitfalls. Lastly, we confirm existing claims that current ESE practices lack a standard to report practical significance of results. We illustrate how practical significance can be discussed in terms of both the statistical analysis and in the practitioner's context. © 2019 Elsevier Inc.
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