SC Harvester Papers Database Interface

Does passive sound attenuation affect responses to pitch-shifted auditory feedback?

Matthias K. Franken, R. Hartsuiker, Petter Johansson, Lars Hall, Tijmen Wartenberg et al. In: The Journal of the Acoustical Society of America. 2019

Abstract: The role of auditory feedback in vocal production has mainly been investigated by altered auditory feedback (AAF) in real time. In response, speakers compensate by shifting their speech output in the opposite direction. Current theory suggests this is caused by a mismatch between expected and observed feedback. A methodological issue is the difficulty to fully isolate the speaker's hearing so that...

Using Bayesian Networks for a Cyberattacks Propagation Analysis in Systems-of-Systems

Jamal El Hachem, Ali Sedaghatbaf, Elena Lisova, Aida Čaušević. In: 2019 26th Asia-Pacific Software Engineering Conference (APSEC). 2019

Abstract: System of Systems (SoS) represent a set of independent Constituent Systems (CS) that collaborate in order to provide functionalities that they are unable to achieve independently. We consider SoS as a set of connected services that needs to be adequately protected. The integration of these independent, evolutionary and distributed systems, intensifies SoS complexity and emphasizes the behavior unc...

Explicit Model-Based Real PID Tuning for Efficient Load Disturbance Rejection

A. Leva, A. Papadopoulos, Silvano Seva, C. Cimino. In: Industrial & Engineering Chemistry Research. 2019

Abstract: In the process control, many PID loops are primarily devoted to rejecting load disturbances, and some of them are crucial for the quality of the overall plant operation. In such a scenario, automatic tuning is highly desired. However, load disturbance rejection calls for strong feedback up to quite high frequencies with respect to the dominant plant dynamics, on which most tuning rules are centere...

Work-in-Progress: Validation of Probabilistic Timing Models of a Periodic Task with Interference - A Case Study

A. Friebe, A. Papadopoulos, T. Nolte. In: 2019 IEEE Real-Time Systems Symposium (RTSS). 2019

Abstract: Probabilistic timing analysis techniques have been proposed for real-time systems to remedy the problems that deterministic estimates of the task's Worst-Case Execution Time and Worst-Case Response-Time can be both intractable and overly pessimistic. Often, assumptions are made that a task's response time and execution time probability distributions are independent of the other tasks. This assumpt...

MBRP: Model-Based Requirements Prioritization Using PageRank Algorithm

Muhammad Abbas, Irum Inayat, Naila Jan, Mehrdad Saadatmand, Eduard Paul Enoiu et al. In: 2019 26th Asia-Pacific Software Engineering Conference (APSEC). 2019

Abstract: Requirements prioritization plays an important role in driving project success during software development. Literature reveals that existing requirements prioritization approaches ignore vital factors such as interdependency between requirements. Existing requirements prioritization approaches are also generally time-consuming and involve substantial manual effort. Besides, these approaches show s...

AMASS: A Large-Scale European Project to Improve the Assurance and Certification of Cyber-Physical Systems

J. L. de la Vara, Eugenio Parra, A. Ruiz, Barbara Gallina. In: . 2019

Continuous Experimentation for Software Organizations with Low Control of Roadmap and a Large Distance to Users: An Exploratory Case Study

Robin Sveningson, D. I. Mattos, J. Bosch. In: . 2019

Excellence in Exploratory Testing: Success Factors in Large-Scale Industry Projects

Torvald Mårtensson, A. Martini, Daniel Ståhl, J. Bosch. In: . 2019

Data Driven Development: Challenges in Online, Embedded and On-Premise Software

H. Olsson, J. Bosch. In: . 2019

A Modeling Approach for Bioinformatics Workflows

Laiz Heckmann Barbalho de Figueroa, Rema Salman, J. Horkoff, Sonia Chauhan, Marcela Davila et al. In: . 2019

Abstract: Bioinformaticians execute frequent, complex, manual and semi-scripted workflows to process data. There are many tools to manage and conduct these workflows, but there is no domain-specific way to textually and diagrammatically document them. Consequently, we create methods for modeling bioinformatics workflows. Specifically, we extend the Unified Modeling Language (UML) Activity Diagram to the bio...

Challenges of Scaled Agile for Safety-Critical Systems

J. Steghöfer, E. Knauss, J. Horkoff, Rebekka Wohlrab. In: . 2019

Abstract: Automotive companies increasingly adopt scaled agile methods to allow them to deal with their organisational and product complexity. Suitable methods are needed to ensure safety when developing automotive systems. On a small scale, R-Scrum and SafeScrum® are two concrete suggestions for how to develop safety-critical systems using agile methods. However, for large-scale environments, existing fram...

Empirical Analysis of Hidden Technical Debt Patterns in Machine Learning Software

M. Alahdab, G. Çalıklı. In: . 2019

Abstract: [Context/Background] Machine Learning (ML) software has special ability for increasing technical debt due to ML-specific issues besides having all the problems of regular code. The term “Hidden Technical Debt” (HTD) was coined by Sculley et al. to address maintainability issues in ML software as an analogy to technical debt in traditional software. [Goal] The aim of this paper is to empirically an...

Action Taking

M. Staron. In: Action Research in Software Engineering. 2019

Validity Evaluation

M. Staron. In: Action Research in Software Engineering. 2019

Diagnosing

M. Staron. In: Action Research in Software Engineering. 2019