What is he best known for?
The fields of study he is best known for:
- Software
- Software engineering
- Operating system
His primary areas of study are Software engineering, Software, Software development, Systems engineering and System of systems engineering.
His Software engineering study integrates concerns from other disciplines, such as Requirements management, Risk analysis, Software Engineering Process Group, Software construction and Requirements elicitation.
His study in the field of COCOMO is also linked to topics like Natural ecosystem, Environmental resource management and Strategic alignment.
The Software development study combines topics in areas such as Software system and Traceability.
The concepts of his Systems engineering study are interwoven with issues in Data modeling, Systems development life cycle, Social software engineering and Domain.
His System of systems engineering research incorporates elements of Engineering management, Requirements engineering, Production engineering and Totally integrated automation.
His most cited work include:
- Optimal project feature weights in analogy-based cost estimation: improvement and limitations (113 citations)
- A case study on value-based requirements tracing (87 citations)
- Software reviews, the state of the practice (86 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Software engineering, Software, Systems engineering, Process and Software development.
His research integrates issues of Software system, Software quality, Software Engineering Process Group and Social software engineering in his study of Software engineering.
His biological study spans a wide range of topics, including Reliability engineering and Quality assurance.
His Software study deals with Quality intersecting with Process management.
His studies examine the connections between Systems engineering and genetics, as well as such issues in Data modeling, with regards to Data exchange, Use case and Ontology.
His Process research includes themes of Semantic Web, Resource and Software inspection.
He most often published in these fields:
- Software engineering (40.17%)
- Software (22.25%)
- Systems engineering (21.68%)
What were the highlights of his more recent work (between 2018-2021)?
- Process (19.94%)
- Software engineering (40.17%)
- Domain (12.72%)
In recent papers he was focusing on the following fields of study:
Stefan Biffl mainly investigates Process, Software engineering, Domain, Production Systems Engineering and Software.
His Process research integrates issues from Data exchange, Resource, Data integration, Risk analysis and Use case.
His studies deal with areas such as Software system, Unified Modeling Language, Data model, Consistency and Software quality as well as Software engineering.
Stefan Biffl has researched Domain in several fields, including Business Process Model and Notation, Cyber-physical system and Knowledge representation and reasoning.
As a part of the same scientific family, Stefan Biffl mostly works in the field of Production Systems Engineering, focusing on Quality and, on occasion, Production system.
Stefan Biffl is interested in Software inspection, which is a branch of Software.
Between 2018 and 2021, his most popular works were:
- Efficient Engineering Data Exchange in Multi-disciplinary Systems Engineering. (9 citations)
- Dealing with Non-Functional Requirements in Model-Driven Development: A Survey (9 citations)
- Production-Aware Analysis of Multi-disciplinary Systems Engineering Processes. (8 citations)
In his most recent research, the most cited papers focused on:
- Software
- Software engineering
- Operating system
His primary scientific interests are in Software engineering, Data exchange, Process, Data integration and Domain.
His research in Software engineering intersects with topics in Software system, Unified Modeling Language and Position paper.
His work deals with themes such as Data modeling and Ontology, which intersect with Data exchange.
He interconnects Software, Information security and Secure by design in the investigation of issues within Process.
His Data integration research incorporates elements of Systems engineering, Process design, Technical debt, Synchronization and Use case.
His Systems engineering study combines topics from a wide range of disciplines, such as Variety, Business Process Model and Notation and Quality assurance.
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