SC Harvester Papers Database Interface

FIREWORK: Fog Orchestration for Secure IoT Networks

M. Vahabi, H. Fotouhi, M. Björkman. In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2019

Street Lamp Fault Diagnosis System Based on Extreme Learning Machine

Yanming Lee, Hongyi Zhang, J. Rosa. In: IOP Conference Series: Materials Science and Engineering. 2019

Abstract: In view of the construction of urban lighting system needs a lot of manpower deployment, especially for its fault diagnosis problem management. This paper proposes a fault model detection and diagnosis subsystem based on the extreme learning machine for street lamps system. The subsystem is part of the event rule response system which is based on the complex event processing technology framework. ...

Constructing product-line safety cases from contract-based specifications

Damir Nešić, M. Nyberg, B. Gallina. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. 2019

Abstract: Safety cases are used to argue that safety-critical systems satisfy the requirements that are determined to mitigate the potential hazards in the systems operating environment. Although typically a manual task, safety cases have been successfully created for systems without many configuration options. However, in highly configurable systems, typically developed as a Product Line (PL), arguing abou...

Towards variant management and change impact analysis in safety-oriented process-product lines

M. Javed, B. Gallina, Anna Carlsson. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. 2019

Abstract: In safety-critical (software) systems, safety management embraces both processes and products, which due to e.g., product's upgrade, tend to be tailored, giving rise to safety-oriented product lines and corresponding safety-oriented process lines. To tailor these lines systematically, their inter-dependencies would have been taken into consideration. To date, however, no satisfying implemented sol...

A generic traceability metamodel for enabling unified end-to-end traceability in software product lines

Philipp Heisig, J. Steghöfer, Christopher Brink, S. Sachweh. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. 2019

Abstract: Mature development methodologies like software product line engineering or model-driven engineering are more and more adopted in software development. Accordingly, the resulting development processes combine artifacts from different disciplines and on different abstraction levels. It is crucial that the relationship between these artifacts is explicitly maintained to be able to track the developme...

Information Flow in Software Testing – An Interview Study With Embedded Software Engineering Practitioners

P. Strandberg, Eduard Paul Enoiu, W. Afzal, Daniel Sundmark, R. Feldt. In: IEEE Access. 2019

Abstract: Background: In order to make informed decisions, software engineering practitioners need information from testing. However, with the trend of increased automation, there is exponential growth and increased distribution of this information. This paper aims at exploring the information flow in software testing in the domain of embedded systems. Method: Data was collected through semi-structured inte...

Message from the ITEQS 2019 Chairs

B. Lindström, Mehrdad Saadatmand, M. Mousavi, Eduard Paul Enoiu. In: 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). 2019

Abstract: It is our pleasure to welcome you to the third edition of ITEQS, collocated with the 12th IEEE International Conference on Software Testing, Verification and Validation (ICST 2019) in Xi’an, China. Due to the ever-increasing integration of software systems with the physical world, extrafunctional aspects such as performance, safety, security, and robustness become more important and play a central...

On Measuring Combinatorial Coverage of Manually Created Test Cases for Industrial Software

Miraldi Fifo, Eduard Paul Enoiu, W. Afzal. In: 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). 2019

Abstract: Combinatorial coverage has been proposed as a way to measure the quality of test cases by using the input interaction characteristics. This paper describes the results of empirically measuring combinatorial coverage of manually created test cases by experienced industrial engineers working with embedded software development. We found that manual test cases achieve on average 78% 2-way combinatoria...

Test Agents: The Next Generation of Test Cases

Eduard Paul Enoiu, Mirgita Frasheri. In: 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). 2019

Abstract: Growth of software size, lack of resources to perform regression testing, and failure to detect bugs faster have seen increased reliance on continuous integration and test automation. Even with greater hardware and software resources dedicated to test automation, software testing is faced with enormous challenges, resulting in increased dependence on centralized and complex mechanisms for automate...

Machine Learning to Guide Performance Testing: An Autonomous Test Framework

M. H. Moghadam, Mehrdad Saadatmand, Markus Borg, M. Bohlin, B. Lisper. In: 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). 2019

Abstract: Satisfying performance requirements is of great importance for performance-critical software systems. Performance analysis to provide an estimation of performance indices and ascertain whether the requirements are met is essential for achieving this target. Model-based analysis as a common approach might provide useful information but inferring a precise performance model is challenging, especiall...

Assessing the impact of meta-model evolution: a measure and its automotive application

Darko Durisic, M. Staron, M. Tichy, J. Hansson. In: Software & Systems Modeling. 2019

Automated Optimization of Software Parameters in a Long Term Evolution Radio Base Station

D. I. Mattos, J. Bosch, H. Olsson, Anas Dakkak, Krister Bergh. In: 2019 IEEE International Systems Conference (SysCon). 2019

Abstract: Radio network optimization is concerned with the configuration of radio base station parameters in order to achieve the desired level of service quality in addition to many other differentiating technical factors. Mobile network operators have different physical locations, levels of traffic profiles, number of connected devices, and the desired quality of service. All of these conditions make the ...

Introduction to the special issue on architecting autonomous and smart systems

Patrizio Pelliccione, J. Bosch, M. Mikic. In: J. Syst. Softw.. 2019

Video Game Development in a Rush: A Survey of the Global Game Jam Participants

Markus Borg, V. Garousi, Anas Mahmoud, Thomas Olsson, O. Stålberg. In: IEEE Transactions on Games. 2019

Abstract: Video game development is a complex endeavor, often involving complex software, large organizations, and aggressive release deadlines. Several studies have reported that periods of “crunch time” are prevalent in the video game industry, but there are few studies on the effects of time pressure. We conducted a survey with participants of the Global Game Jam (GGJ), a 48-h hackathon. Based on 198 res...

PROMPT - Master Courses for Professional SoftwareDevelopers

S. Eck, H. Hansson. In: ACM SIGSOFT Software Engineering Notes. 2019

Abstract: PROMPT [1] is an educational initiative in cooperation with several academic parties and leading industrial companies and organizations. Together, the parties offer advanced level courses in software engineering in a web-based format, tailored to fit professional engineers and software developers who need to be able to combine full-time work and studies. The long-term goal of PROMPT is to guarante...