What is he best known for?
The fields of study he is best known for:
- Software engineering
- Software
- Software development
His primary areas of study are Software engineering, Software development, Social software engineering, Software and Empirical process.
His Software engineering research includes themes of Software inspection, Correctness, Pair programming, Software metric and Software walkthrough.
His work deals with themes such as Knowledge management, Software bug, Overhead and Data science, which intersect with Software development.
His Social software engineering study integrates concerns from other disciplines, such as Personal software process, Software Engineering Process Group and Software requirements.
His Software study incorporates themes from Parallel programming model, Concurrent computing and Component.
Empirical process and Empirical research are two areas of study in which Forrest Shull engages in interdisciplinary work.
His most cited work include:
- Building knowledge through families of experiments (714 citations)
- The empirical investigation of perspective-based reading (435 citations)
- Guide to Advanced Empirical Software Engineering (364 citations)
What are the main themes of his work throughout his whole career to date?
Forrest Shull focuses on Software engineering, Software, Software development, Software quality and Empirical research.
His studies deal with areas such as Software inspection, Software system, Software metric, Software construction and Software development process as well as Software engineering.
The Software study combines topics in areas such as Technical report and Data science.
His study in Social software engineering, Personal software process, Software walkthrough, Empirical process and Software requirements is carried out as part of his studies in Software development.
In Social software engineering, Forrest Shull works on issues like Software Engineering Process Group, which are connected to Engineering management.
His Software measurement study, which is part of a larger body of work in Software quality, is frequently linked to Reuse, bridging the gap between disciplines.
He most often published in these fields:
- Software engineering (52.80%)
- Software (33.60%)
- Software development (33.60%)
What were the highlights of his more recent work (between 2011-2017)?
- Software (33.60%)
- Software quality (20.00%)
- Technical debt (7.20%)
In recent papers he was focusing on the following fields of study:
Forrest Shull mainly investigates Software, Software quality, Technical debt, Software engineering and Software development.
His study in the fields of Software system under the domain of Software overlaps with other disciplines such as Point.
Forrest Shull has included themes like Software verification and validation, Software construction and Reliability engineering in his Software quality study.
His work carried out in the field of Technical debt brings together such families of science as Software maintenance, Risk analysis and Code smell.
In his papers, Forrest Shull integrates diverse fields, such as Software engineering and Current.
His study involves Personal software process, Social software engineering and Software peer review, a branch of Software development.
Between 2011 and 2017, his most popular works were:
- Using the ISO/IEC 9126 product quality model to classify defects: A controlled experiment (243 citations)
- Local versus Global Lessons for Defect Prediction and Effort Estimation (162 citations)
- Comparing four approaches for technical debt identification (77 citations)
In his most recent research, the most cited papers focused on:
- Software
- Software engineering
- Software development
Forrest Shull mainly focuses on Technical debt, Software, Software maintenance, Data science and Code smell.
His Technical debt research is multidisciplinary, incorporating perspectives in Position paper, Decision engineering, Business decision mapping, Project portfolio management and Analytic hierarchy process.
His Capability Maturity Model Integration study in the realm of Software interacts with subjects such as Product.
His study with Software maintenance involves better knowledge in Software development.
His Data science study integrates concerns from other disciplines, such as Data modeling, Software engineering and Machine learning, Cluster analysis, Artificial intelligence.
Forrest Shull integrates Software engineering and Construct in his studies.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
