| 1. |
- Bagnato, Alessandra, et al.
(författare)
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European Project Space Papers for the PROFES 2019 : Summary
- 2019
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer. - 9783030353322 ; , s. 573-576
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Konferensbidrag (refereegranskat)abstract
- The European Project Space at PROFES 2019 provides an opportunity for researchers involved in ongoing and recently completed research projects (national, European, and international) related to the topics of the conference to present their projects and disseminate the objectives, deliverables, or outcome. © Springer Nature Switzerland AG 2019.
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| 2. |
- de la Vara, J. L., et al.
(författare)
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AMASS : A Large-Scale European Project to Improve the Assurance and Certification of Cyber-Physical Systems
- 2019
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Ingår i: Lecture Notes in Computer Science, vol. 11915. - Cham : Springer. - 9783030353322 ; , s. 626-632
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Konferensbidrag (refereegranskat)abstract
- Most safety-critical systems must undergo assurance and certification processes. The associated activities can be complex and labour-intensive, thus practitioners need suitable means to execute them. The activities are further becoming more challenging as a result of the evolution of the systems towards cyber-physical ones, as these systems have new assurance and certification needs. The AMASS project (Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems) tackled these issues by creating and consolidating the de-facto European-wide open tool platform, ecosystem, and self-sustainable community for assurance and certification of cyber-physical systems. The project defined a novel holistic approach for architecture-driven assurance, multi-concern assurance, seamless interoperability, and cross- and intra-domain reuse of assurance assets. AMASS results were applied in 11 industrial case studies to demonstrate the reduction of effort in assurance and certification, the reduction of (re)certification cost, the reduction of assurance and certification risks, and the increase in technology harmonisation and interoperability.
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| 3. |
- Kettunen, Petri, et al.
(författare)
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Agile in the Era of Digitalization : A Finnish Survey Study
- 2019
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer. - 9783030353322 ; , s. 383-398
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Konferensbidrag (refereegranskat)abstract
- Agile software development has been applied since the early 2000s. It is now mainstream industrial practice in information and communication technology (ICT) companies and IT organizations. However, recently increasing and even disruptive digitalization has brought new drivers and needs for agility both in software organizations as well as in traditional companies, which are becoming more and more software-intensive. Following that line of developments, based on our recent survey conducted in Finland in 2018, in this paper we explore the current state of the affairs with respect to how different organizations currently address agility and agile development in both IT and non-software industrial sectors. The results show that operative goals (productivity, quality) are considered the most important ones to achieve by agile means. Scrum, Kanban and DevOps are the most frequently reported methods, and SAFe is the dominant scaling model. Lead time metrics are the most typically followed measurements. The operative goals as well as responsiveness are also the most highly ranked future aims. The impacts of digitalization are considered substantial but agile developments are seen to address them well. As a conclusion of this survey study, there is no “one agile way” for all. Different organizations seem to emphasize multiple aspects of agility when they develop, adapt and even transform themselves. Yet, also many commonalities were indicated. © Springer Nature Switzerland AG 2019.
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| 4. |
- Nilson, Mayra, et al.
(författare)
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Do Internal Software Quality Tools Measure Validated Metrics?
- 2019
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. ; 11915 LNCS, s. 637-648
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Konferensbidrag (refereegranskat)abstract
- Internal software quality determines the maintainability of the software product and influences the quality in use. There is a plethora of metrics which purport to measure the internal quality of software, and these metrics are offered by static software analysis tools. To date, a number of reports have assessed the validity of these metrics. No data are available, however, on whether metrics offered by the tools are somehow validated in scientific studies. The current study covers this gap by providing data on which tools and how many validated metrics are provided. The results show that a range of metrics that the tools provided do not seem to be validated in the literature and that only a small percentage of metrics are validated in the provided tools.
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| 5. |
- Olsson, Helena Holmström, et al.
(författare)
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Data Driven Development: Challenges in Online, Embedded and On-Premise Software
- 2019
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. ; 11915 LNCS, s. 515-527, s. 515-527
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Konferensbidrag (refereegranskat)abstract
- For more than a decade, data driven development has attracted attention as one of the most powerful means to improve effectiveness and ensure value delivery to customers. In online companies, controlled experimentation is the primary technique to measure how customers respond to variants of deployed software. In B2B companies, an interest for data driven development is rapidly emerging and experiments are run on selected instances of the system or as comparisons of previously computed data to ensure quality, improve configurations and explore new value propositions. Although the adoption of data driven development is challenging in general, it is especially so for embedded systems companies and for companies developing on-premise software solutions. Due to complex systems with hardware dependencies, safety-critical functionality and strict regulations, these companies have longer development cycles, less frequent deployments and limited access to data. In this paper, and based on multi-case study research, we explore the specific challenges that embedded systems companies and companies developing on-premise solutions experience when adopting data driven development practices. The contribution of the paper is two-fold. First, we provide empirical evidence in which we identify the key challenges that embedded systems and on-premise software solutions companies experience as they evolve through the process of adopting data driven development practices. Second, we define the key focus areas that these companies need to address for evolving their data driven development adoption process.
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| 6. |
- Tran, Huynh Khanh Vi, et al.
(författare)
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Test-Case Quality : Understanding Practitioners’ Perspectives
- 2019
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer. - 9783030353322 ; , s. 37-52
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Konferensbidrag (refereegranskat)abstract
- Background: Test-case quality has always been one of the major concerns in software testing. To improve test-case quality, it is important to better understand how practitioners perceive the quality of test-cases. Objective: Motivated by that need, we investigated how practitioners define test-case quality and which aspects of test-cases are important for quality assessment. Method: We conducted semi-structured interviews with professional developers, testers and test architects from a multinational software company in Sweden. Before the interviews, we asked participants for actual test cases (written in natural language) that they perceive as good, normal, and bad respectively together with rationales for their assessment. We also compared their opinions on shared test cases and contrasted their views with the relevant literature. Results: We present a quality model which consists of 11 test-case quality attributes. We also identify a misalignment in defining test-case quality among practitioners and between academia and industry, along with suggestions for improving test-case quality in industry. Conclusion: The results show that practitioners’ background, including roles and working experience, are critical dimensions of how test-case quality is defined and assessed. © Springer Nature Switzerland AG 2019.
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