Purpose This study aims to report on how programme directors address sustainability within engineering education at Swedish universities and engineering colleges. Design/methodology/approach The study was performed as a survey with follow-up interviews around the following core questions: to what extent do programme directors possess a deep understanding of the subject of sustainable development? Which are the core competencies in sustainable development that programme directors identify as important for their engineering students to acquire during their basic training? To what extent are those competencies integrated into engineering education today and what kind of support do programme directors receive from their department to integrate these competencies into the curriculum? Findings Programme directors believe that learning for sustainable development is important mainly based on their personal convictions. However, out of 10 potential learning objectives extracted from the literature, only four-six are implemented in degree programmes. Learning objectives and activities are not always aligned, as students are required to learn about interdisciplinary collaboration without working with students from other faculties. The programme directors receive some support from the department, but they express a need for additional support. Examples of support that they suggest are faculty training, efficient teaching material and incorporation of sustainability in the quality assessment instruments for degree programmes. Originality/value This study is the first comprehensive, national survey of what programme directors think about sustainability in higher education. Their views are important in the attempt to accelerate the integration of sustainability in higher education curricula.

Integrating novel software systems in our society, economy and environment can have farreaching effects. As a result, software systems should be designed in such a way as to maintain or improve the sustainability of their intended socio-technical systems. However, a paradigm shift is required to raise awareness of software professionals on the potential sustainability effects of software systems. While Requirements Engineering is considered the key for driving this change, requirements engineers lack the knowledge, experience and methodological support for acting as facilitators for a broader discussion on sustainability effects. This paper presents a question-based framework for raising awareness of the potential effects of software systems on sustainability, as the first step towards enabling the required paradigm shift. An evaluation study of the framework was conducted with four groups of computer science students. The results of the study indicate that the framework is applicable to different types of systems and helps to facilitate discussions about the potential effects that software systems could have on sustainability.

Automated testing is an essential component of Continuous Integration (CI) and Delivery (CD), such as scheduling automated test sessions on overnight builds. That allows stakeholders to execute entire test suites and achieve exhaustive test coverage, since running all tests is often infeasible during work hours, i.e., in parallel to development activities. On the other hand, developers also need test feedback from CI servers when pushing changes, even if not all test cases are executed. In this paper we evaluate similarity-based test case selection (SBTCS) on integration-level tests executed on continuous integration pipelines of two companies. We select test cases that maximise diversity of test coverage and reduce feedback time to developers. Our results confirm existing evidence that SBTCS is a strong candidate for test optimisation, by reducing feedback time (up to 92% faster in our case studies) while achieving full test coverage using only information from test artefacts themselves.

Integrating novel software systems in our society, economy, and environment can have far-reaching effects. As a result, software systems should be designed in such a way as to maintain or improve the sustainability of the sociotechnical system of their destination. However, a paradigm shift is required to raise awareness of software professionals on the potential sustainability effects of software systems. While Requirements Engineering is considered the key to driving this change, requirements engineers lack the knowledge, experience and methodological support for doing so. This paper presents a question-based framework for raising awareness of the potential effects of software systems on sustainability, as the first step towards enabling the required paradigm shift. A feasibility study of the framework was carried out with two groups of computer science students. The results of the study indicate that the framework helps enable discussions about potential effects that software systems could have on sustainability.

Our understanding of distributed decision making in professional teams and their performance comes in part from studies in which researchers gather and process information about the communications and actions of teams. In many cases, the data sets available for analysis are large, unwieldy and require methods for exploratory and dynamic management of data. In this paper, we report the results of interviewing eight researchers on their work process when conducting such analyses and their use of support tools in this process. Our aim with the study was to gain an understanding of their workflow when studying distributed decision making in teams, and specifically how automated pattern extraction tools could be of use in their work. Based on an analysis of the interviews, we elicited three issues of concern related to the use of support tools in analysis: focusing on a subset of data to study, drawing conclusions from data and understanding tool limitations. Together, these three issues point to two observations regarding tool use that are of specific relevance to the design of intelligent support tools based on pattern extraction: open-endedness and transparency.