What is he best known for?
The fields of study he is best known for:
- Software engineering
- Software development
- Software
Requirements engineering, Software development, Management science, Software engineering and Process management are his primary areas of study.
His biological study spans a wide range of topics, including Quality, Requirements analysis and Project management, Systems engineering.
His Risk analysis research extends to Software development, which is thematically connected.
The Management science study combines topics in areas such as Domain engineering, Emerging technologies and Decision support system.
The concepts of his Software engineering study are interwoven with issues in Requirements management and Non-functional requirement.
His Process management study integrates concerns from other disciplines, such as Software, Plan, Triangulation and Information and Computer Science.
His most cited work include:
- Empirical evidence in global software engineering: a systematic review (272 citations)
- A Model for Technology Transfer in Practice (234 citations)
- Software development in startup companies: A systematic mapping study (202 citations)
What are the main themes of his work throughout his whole career to date?
Tony Gorschek focuses on Requirements engineering, Software, Software engineering, Process management and Software development.
His Requirements engineering research incorporates themes from Systems engineering, Risk analysis, Requirements analysis and Engineering management.
In most of his Software studies, his work intersects topics such as Management science.
His work carried out in the field of Software engineering brings together such families of science as Software system, Knowledge translation, Data science and Software design.
His studies in Process management integrate themes in fields like New product development, Process, Agile software development and Service.
His Social software engineering research is multidisciplinary, incorporating perspectives in Software analytics, Knowledge management, Personal software process, Software Engineering Process Group and Software peer review.
He most often published in these fields:
- Requirements engineering (36.36%)
- Software (30.30%)
- Software engineering (29.09%)
What were the highlights of his more recent work (between 2018-2021)?
- Software (30.30%)
- Software engineering (29.09%)
- Requirements engineering (36.36%)
In recent papers he was focusing on the following fields of study:
Tony Gorschek mainly investigates Software, Software engineering, Requirements engineering, Process management and Agile software development.
His Software research includes elements of Quality and Traceability.
His research in the fields of Component overlaps with other disciplines such as Evidence based decision making.
His Requirements engineering research incorporates elements of Domain and Engineering management.
His Process management research incorporates themes from Phase, Software release life cycle, Software development and Service.
His Agile software development research integrates issues from Knowledge subject and Software development process.
Between 2018 and 2021, his most popular works were:
- Software engineering in start-up companies: An analysis of 88 experience reports (29 citations)
- An exploratory study of waste in software development organizations using agile or lean approaches: A multiple case study at 14 organizations (17 citations)
- A Progression Model of Software Engineering Goals, Challenges, and Practices in Start-Ups (16 citations)
In his most recent research, the most cited papers focused on:
- Software engineering
- Software development
- Software
His primary areas of study are Software, Software engineering, Quality, Agile software development and Software development.
His specific area of interest is Software, where Tony Gorschek studies Requirements engineering.
His Requirements engineering study incorporates themes from Process area and Flexibility.
His research integrates issues of Knowledge translation and Bayesian probability in his study of Software engineering.
His study in Agile software development is interdisciplinary in nature, drawing from both Lean software development, Process, Knowledge management and Process management.
In the subject of general Software development, his work in Software quality is often linked to Privacy laws of the United States, Qualitative research and Start up, thereby combining diverse domains of study.
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