144 citations · 496 across the 16 of their papers we have counts for
17 papers
Evaluation of large language models for assessing code maintainability
Marc Dillmann, Julien Siebert, Adam Trendowicz
Increased availability of open-source software repositories and recent advances in code analysis using large language models (LLMs) has triggered a wave of new work to automate sof…
Badgers: generating data quality deficits with Python
Julien Siebert, Daniel Seifert, Patricia Kelbert +2
Generating context specific data quality deficits is necessary to experimentally assess data quality of data-driven (artificial intelligence (AI) or machine learning (ML)) applicat…
Building AI Innovation Labs together with Companies
Jens Heidrich, Andreas Jedlitschka, Adam Trendowicz +1
In the future, most companies will be confronted with the topic of Artificial Intelligence (AI) and will have to decide on their strategy in this regards. Currently, a lot of compa…
From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development
Jens Heidrich, Michael Kläs, Andreas Morgenstern +4
In recent years, the role and the importance of software in the automotive domain have changed dramatically. Being able to systematically evaluate and manage software quality is be…
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández, Justus Bogner, Xavier Franch +5
AI-based systems are software systems with functionalities enabled by at least one AI component (e.g., for image- and speech-recognition, and autonomous driving). AI-based systems…
Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
Silverio Martínez-Fernández, Xavier Franch, Andreas Jedlitschka +2
Companies dealing with Artificial Intelligence (AI) models in Autonomous Systems (AS) face several problems, such as users' lack of trust in adverse or unknown conditions, gaps bet…
Operationalised product quality models and assessment: The Quamoco approach
Stefan Wagner, Andreas Goeb, Lars Heinemann +8
Software quality models provide either abstract quality characteristics or concrete quality measurements; there is no seamless integration of these two aspects. Reasons for this in…
The Quamoco Product Quality Modelling and Assessment Approach
Stefan Wagner, Klaus Lochmann, Lars Heinemann +6
Published software quality models either provide abstract quality attributes or concrete quality assessments. There are no models that seamlessly integrate both aspects. In the pro…
Comprehensive Landscapes for Software-related Quality Models
Michael Kläs, Jens Heidrich, Jürgen Münch +1
Managing quality (such as service availability or process adherence) during the development, operation, and maintenance of software(-intensive) systems and services is a challengin…
Supporting Process Maturation with the Enhanced CoBRA Method
Adam Trendowicz, Jens Heidrich, Jürgen Münch
Cost estimation is a very crucial field for software developing companies. In the context of learning organizations, estimation applicability and accuracy are not the only acceptan…
GQM+Strategies: A Comprehensive Methodology for Aligning Business Strategies with Software Measurement
Victor Basili, Jens Heidrich, Mikael Lindvall +5
In software-intensive organizations, an organizational management system will not guarantee organizational success unless the business strategy can be translated into a set of oper…
State of the Practice in Software Effort Estimation: A Survey and Literature Review
Adam Trendowicz, Jürgen Münch, Ross Jeffery
Effort estimation is a key factor for software project success, defined as delivering software of agreed quality and functionality within schedule and budget. Traditionally, effort…
An Integrated Approach for Identifying Relevant Factors Influencing Software Development Productivity
Adam Trendowicz, Michael Ochs, Axel Wickenkamp +3
Managing software development productivity and effort are key issues in software organizations. Identifying the most relevant factors influencing project performance is essential f…
Lessons Learned and Results from Applying Data-Driven Cost Estimation to Industrial Data Sets
Jens Heidrich, Adam Trendowicz, Jürgen Münch +4
The increasing availability of cost-relevant data in industry allows companies to apply data-intensive estimation methods. However, available data are often inconsistent, invalid,…
Model-based Product Quality Evaluation with Multi-Criteria Decision Analysis
Adam Trendowicz, Michael Kläs, Constanza Lampasona +3
The ability to develop or evolve software or software-based systems/services with defined and guaranteed quality in a predictable way is becoming increasingly important. Essential…
A Deployment Process for Strategic Measurement Systems
Martin Kowalczyk, Henning Barthel, Jürgen Münch +2
Explicitly linking software-related activities to an organisation's higher-level goals has been shown to be critical for organizational success. GQM+Strategies provides mechanisms…
Linking Software Development and Business Strategy Through Measurement
Victor R. Basili, Jens Heidrich, Mikael Lindvall +5
Most of today's products and services are software-based. Organizations that develop software want to maintain and improve their competitiveness by controlling software-related ris…