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08/29/2023
Summary of the 4th International Workshop on Requirements Engineering and Testing (RET 2017)
The RET (Requirements Engineering and Testing) workshop series provides ...
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08/22/2023
A multi-case study of agile requirements engineering and the use of test cases as requirements
Context: It is an enigma that agile projects can succeed 'without requir...
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08/18/2023
Summary of the 3rd International Workshop on Requirements Engineering and Testing
The RET (Requirements Engineering and Testing) workshop series provides ...
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08/12/2023
An Industrial Case Study on Test Cases as Requirements
It is a conundrum that agile projects can succeed 'without requirements'...
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08/02/2023
Summary of 2nd International Workshop on Requirements Engineering and Testing (RET)
The RET (Requirements Engineering and Testing) workshop series provides ...
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07/24/2023
Challenges and Practices in Aligning Requirements with Verification and Validation: A Case Study of Six Companies
Weak alignment of requirements engineering (RE) with verification and va...
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04/23/2023
U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code
[Context] Accurate time estimation is a critical aspect of predictable s...
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03/10/2023
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges
Software that contains machine learning algorithms is an integral part o...
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02/23/2023
Requirements Engineering for Automotive Perception Systems: an Interview Study
Background: Driving automation systems (DAS), including autonomous drivi...
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10/31/2022
Mutation Testing Optimisations using the Clang Front-end
Mutation testing is the state-of-the-art technique for assessing the fau...
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10/13/2022
Automotive Multilingual Fault Diagnosis
Automated fault diagnosis can facilitate diagnostics assistance, speedie...
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09/19/2022
Adopting Automated Bug Assignment in Practice: A Longitudinal Case Study at Ericsson
The continuous inflow of bug reports is a considerable challenge in larg...
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04/26/2022
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
Several areas have been improved with Deep Learning during the past year...
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04/16/2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
Integration of Machine Learning (ML) components in critical applications...
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03/30/2022
Exploring ML testing in practice – Lessons learned from an interactive rapid review with Axis Communications
There is a growing interest in industry and academia in machine learning...
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03/29/2022
Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice
Due to the migration megatrend, efficient and effective second-language ...
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03/22/2022
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
This paper presents an extended version of Deeper, a search-based simula...
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03/08/2022
Code Red: The Business Impact of Code Quality – A Quantitative Study of 39 Proprietary Production Codebases
Code quality remains an abstract concept that fails to get traction at t...
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11/28/2021
Agility in Software 2.0 – Notebook Interfaces and MLOps with Buttresses and Rebars
Artificial intelligence through machine learning is increasingly used in...
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11/16/2021
Machine Learning-Assisted Analysis of Small Angle X-ray Scattering
Small angle X-ray scattering (SAXS) is extensively used in materials sci...
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09/28/2021
Adopting Automated Bug Assignment in Practice – A Registered Report of an Industrial Case Study
[Background/Context] The continuous inflow of bug reports is a considera...
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09/16/2021
Efficient and Effective Generation of Test Cases for Pedestrian Detection – Search-based Software Testing of Baidu Apollo in SVL
With the growing capabilities of autonomous vehicles, there is a higher ...
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04/28/2021
Challenges of Adopting SAFe in the Banking Industry – A Study Two Years after its Introduction
The Scaled Agile Framework (SAFe) is a framework for scaling agile metho...
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04/26/2021
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent
Performance testing with the aim of generating an efficient and effectiv...
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03/29/2021
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
Several areas have been improved with Deep Learning during the past year...
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03/02/2021
Test Automation with Grad-CAM Heatmaps – A Future Pipe Segment in MLOps for Vision AI?
Machine Learning (ML) is a fundamental part of modern perception systems...
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12/12/2020
Digital Twins Are Not Monozygotic – Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators
The increasing levels of software- and data-intensive driving automation...
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09/11/2020
Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN
Smart cameras are increasingly used in surveillance solutions in public ...
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09/11/2020
The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs
AI solutions seem to appear in any and all application domains. As AI be...
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05/27/2020
Making Lab Sessions Mandatory – On Student Work Distribution in a Gamified Project Course on Market-Driven Software Engineering
Unfair work distribution in student teams is a common issue in project-b...
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05/26/2020
Illuminating a Blind Spot in Digitalization – Software Development in Sweden's Private and Public Sector
As Netscape co-founder Marc Andreessen famously remarked in 2011, softwa...
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08/19/2019
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
Test automation can result in reduction in cost and human effort. If the...
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08/13/2019
Requirements Engineering for Machine Learning: Perspectives from Data Scientists
Machine learning (ML) is used increasingly in real-world applications. I...
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06/11/2019
Sharing of vulnerability information among companies -- a survey of Swedish companies
Software products are rarely developed from scratch and vulnerabilities ...
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03/31/2019
Video Game Development in a Rush: A Survey of the Global Game Jam Participants
Video game development is a complex endeavor, often involving complex so...
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03/05/2019
SZZ Unleashed: An Open Implementation of the SZZ Algorithm - Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project
Numerous empirical software engineering studies rely on detailed informa...
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03/04/2019
Towards Structured Evaluation of Deep Neural Network Supervisors
Deep Neural Networks (DNN) have improved the quality of several non-safe...
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12/13/2018
Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry
Deep Neural Networks (DNN) will emerge as a cornerstone in automotive so...
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12/04/2018
Cut to the chase: Revisiting the relevance of software engineering research
Software engineering (SE) research should be relevant to industrial prac...
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08/29/2018
Enabling Visual Design Verification Analytics - From Prototype Visualizations to an Analytics Tool using the Unity Game Engine
The ever-increasing architectural complexity in contemporary ASIC projec...
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07/28/2018
Goal-oriented Mutation Testing with Focal Methods
Mutation testing is the state-of-the-art technique for assessing the fau...
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02/01/2018
Digitalization of Swedish Government Agencies - A Perspective Through the Lens of a Software Development Census
Software engineering is at the core of the digitalization of society. Il...
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04/26/2017