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Abstract: Autonomous vehicles grow importance in many domains and depending on the domain and user needs, autonomous vehicles can be designed as stand-alone solutions as in the automotive domain or as part of a fleet with a specific purpose as in the earth moving machinery domain. Contemporary hazard analysis methods primarily focus on analyzing hazards for single systems. Such an analysis requires knowledg...
Abstract: Diversity has been proposed as a key criterion to improve testing effectiveness and efficiency. It can be used to optimise large test repositories but also to visualise test maintenance issues and raise practitioners’ awareness about waste in test artefacts and processes. Even though these diversitybased testing techniques aim to exercise diverse behavior in the system under test (SUT), the divers...
Abstract: Recent advances in artificial intelligence and machine learning (ML) led to effective methods and tools for analyzing the human behavior. Human Activity Recognition (HAR) is one of the fields that has seen an explosive research interest among the ML community due to its wide range of applications. HAR is one of the most helpful technology tools to support the elderly’s daily life and to help peopl...
Abstract: Regression testing is a necessary activity in continuous integration (CI) since it provides confidence that modified parts of the system are correct at each integration cycle. CI provides large volumes of data which can be used to support regression testing activities. By using machine learning, patterns about faulty changes in the modified program can be induced, allowing test orchestrators to ma...
Abstract: The volume at hand presents the special issue of the 12th International Conference on Software and Systems Process (ICSSP) 2019, which was held in Montreal, Canada, from May 25 to 26, 2019. ICSSP 2019 is the latest in a series of conferences that have been organized by the International Software and Systems Process Association. In our evolving landscape, many companies are making efforts to move t...
Abstract: Software engineering is a human activity. Despite this, human aspects are under-represented in technical debt research, perhaps because they are challenging to evaluate. This study’s objective was to investigate the relationship between technical debt and affective states (feelings, emotions, and moods) from software practitioners. Forty participants (N = 40) from twelve companies took part in a m...
Abstract: When developing software systems that contain Machine Learning (ML) based components, the development process become significantly more complex. The central part of the ML process is training iterations to find the best possible prediction model. Modern software development processes, such as DevOps, have widely been adopted and typically emphasise frequent development iterations and continuous de...
Abstract: : Track-based flow management systems like transportation systems and tra ffi c control systems play a crucial role in our daily life. Safety and performance are among the most important quality requirements for these systems. This paper presents AdaptiveFlow as a framework for modeling, safety checking and performance analysis of track-based flow management systems. AdaptiveFlow is based on the Hewit...
Abstract: During testing of parallel systems, which allow asynchronous communication, test flakiness is sometimes avoided by explicitly inserting delays in test code. The choice of delay approach can be a trade-off between short-term gain and long-term robustness. In this work, we present an approach for automatic detection and classification of delay insertions, with the goal of identifying those that coul...
Abstract: Software engineering is a social and collaborative activity. Communicating and sharing knowledge between software developers requires much effort. Hence, the quality of communication plays an important role in influencing project success. To better understand the effect of communication on project success, more in-depth empirical studies investigating this phenomenon are needed. We investigate the...
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