SC Harvester Papers Database Interface

QREME - Quality Requirements Management Model for Supporting Decision-Making

Thomas Olsson, K. Wnuk. In: . 2018

Abstract: [Context and motivation] Quality requirements (QRs) are inherently diffi-cult to manage as they are often subjective, context-dependent and hard to fully grasp by various stakeholders. Furthermore, there are many sources that can provide input on important QRs and suitable levels. Responding timely to customer needs and realizing them in product portfolio and product scope decisions remain the mai...

Economy of Standards: European Association of Urology Guideline Changes Influence Treatment Costs in Stage I Testicular Cancer Patients

A. John, A. Baumgart, T. Worst, J. Heinzelbecker. In: Urologia Internationalis. 2018

Feedback from Operations to Software Development - A DevOps Perspective on Runtime Metrics and Logs

Jürgen Cito, Johannes Wettinger, Lucy Ellen Lwakatare, Markus Borg, Fei Li. In: . 2018

Continuous clarification and emergent requirements flows in open-commercial software ecosystems

E. Knauss, Aminah Yussuf, Kelly Blincoe, Daniela E. Damian, Alessia Knauss. In: Requirements Engineering. 2018

Abstract: Software engineering practice has shifted from the development of products in closed environments toward more open and collaborative efforts. Software development has become significantly interdependent with other systems (e.g. services, apps) and typically takes place within large ecosystems of networked communities of stakeholder organizations. Such software ecosystems promise increased innovati...

Organisation and communication problems in automotive requirements engineering

Grischa Liebel, M. Tichy, E. Knauss, Oscar Ljungkrantz, Gerald Stieglbauer. In: Requirements Engineering. 2018

Abstract: Project success in the automotive industry is highly influenced by requirements engineering (RE), for which communication and organisation structure play a major role, much due to the scale and distribution of these projects. However, empirical research is scarce on these aspects of automotive RE and warrants closer examination. Therefore, the purpose of this paper is to identify problems or chall...

Towards a new digital business operating system: Speed, data, ecosystems, and empowerment (keynote)

J. Bosch. In: . 2018

Abstract: We are living in the most exciting time in the history of mankind. The last century has seen unprecedented improvements in the quality of the human condition and technology is at the heart of this progress. Now we are experiencing an even bigger leap as we move towards a new level of digitalization and automation. Ranging from self-driving cars to factories without workers to societal infrastructu...

Industrial experiences from evolving measurement systems into self‐healing systems for improved availability

M. Staron, Wilhelm Meding, M. Tichy, Jonas Bjurhede, H. Giese et al. In: Software: Practice and Experience. 2018

Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey

K. Petersen, Deepika Badampudi, S. M. A. Shah, K. Wnuk, T. Gorschek et al. In: IEEE Transactions on Software Engineering. 2018

Tool-supported design of data aggregation processes in cloud monitoring systems

Simin Cai, B. Gallina, Dag Nyström, C. Seceleanu, Alf Larsson. In: Journal of Ambient Intelligence and Humanized Computing. 2018

Abstract: Efficient monitoring of a cloud system involves multiple aggregation processes and large amounts of data with various and interdependent requirements. A thorough understanding and analysis of the characteristics of data aggregation processes can help to improve the software quality and reduce development cost. In this paper, we propose a systematic approach for designing data aggregation processes...

Tool-supported design of data aggregation processes in cloud monitoring systems

Simin Cai, B. Gallina, Dag Nyström, C. Seceleanu, Alf Larsson. In: Journal of Ambient Intelligence and Humanized Computing. 2018

Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering

Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, A. Krishnan, K. Granström. In: 2018 IEEE Intelligent Vehicles Symposium (IV). 2018

Abstract: Monocular cameras are one of the most commonly used sensors in the automotive industry for autonomous vehicles. One major drawback using a monocular camera is that it only makes observations in the two dimensional image plane and can not directly measure the distance to objects. In this paper, we aim at filling this gap by developing a multi-object tracking algorithm that takes an image as input a...

Support mechanisms provided by FLOSS foundations and other entities

Juho Lindman, I. Hammouda. In: Journal of Internet Services and Applications. 2018

Abstract: Foundations function as a vital institutional support infrastructure for many of the most successful open-source projects, but the different roles played by these support entities are understudied in Free/Libre and Open Source Software (FLOSS) research. Drawing on Open Hub (formerly known as Ohloh) data, this paper empirically investigates how these entities support projects and interact with othe...

Support mechanisms provided by FLOSS foundations and other entities

Juho Lindman, I. Hammouda. In: Journal of Internet Services and Applications. 2018

A Testability Analysis Framework for Non-functional Properties

M. Felderer, Bogdan Marculescu, F. D. O. Neto, R. Feldt, R. Torkar. In: 2018 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). 2018

Abstract: This paper presents background, the basic steps and an example for a testability analysis framework for non-functional properties....

Reliability evaluation of UML/DAM software architectures under parameter uncertainty

Ali Sedaghatbaf, M. A. Azgomi. In: IET Softw.. 2018

Abstract: Model-based evaluation of software reliability in the architecture design stage helps designers make objective decisions about design trade-offs. A challenging problem is how to deal with uncertainties in model parameters, e.g. usage profile. In this study, an approach based on evidence theory is proposed to handle the uncertainties in model parameters. In this approach, UML is used for modelling ...