What is he best known for?
The fields of study he is best known for:
- Software
- Software engineering
- Artificial intelligence
His main research concerns Software quality, Software metric, Data mining, Software and Software measurement.
His study on Software quality is mostly dedicated to connecting different topics, such as Software construction.
His research on Software metric concerns the broader Software system.
His biological study spans a wide range of topics, including Machine learning, Software reliability testing and Artificial intelligence.
Many of his research projects under Software are closely connected to Telecommunications control software, Reliability and Nonparametric discriminant analysis with Telecommunications control software, Reliability and Nonparametric discriminant analysis, tying the diverse disciplines of science together.
His Software measurement research is multidisciplinary, incorporating elements of Telecommunications and Software design.
His most cited work include:
- Early quality prediction: a case study in telecommunications (194 citations)
- Application of neural networks to software quality modeling of a very large telecommunications system (161 citations)
- EMERALD: software metrics and models on the desktop (133 citations)
What are the main themes of his work throughout his whole career to date?
Edward B. Allen spends much of his time researching Software quality, Software metric, Data mining, Software and Software construction.
His Software quality research incorporates themes from Machine learning, Software system and Software sizing.
He has included themes like Software maintenance, Theoretical computer science, Software measurement, Telecommunications and Reliability engineering in his Software metric study.
The Data mining study combines topics in areas such as Tree, Set and Artificial intelligence.
In the field of Software, his study on Legacy system overlaps with subjects such as Reliability.
His Software construction research is included under the broader classification of Software development.
He most often published in these fields:
- Software quality (63.16%)
- Software metric (57.89%)
- Data mining (41.05%)
What were the highlights of his more recent work (between 2008-2016)?
- Software (40.00%)
- Software system (29.47%)
- Computer security (5.26%)
In recent papers he was focusing on the following fields of study:
Edward B. Allen mainly investigates Software, Software system, Computer security, Software development and Software construction.
His Software research integrates issues from Data mining, Recommender system, Set, Source code and Software engineering.
He works on Software system which deals in particular with Software measurement.
In the subject of general Software development, his work in Software verification and validation is often linked to Session, thereby combining diverse domains of study.
In most of his Software construction studies, his work intersects topics such as Software quality.
His Software quality study incorporates themes from Software versioning, Code and Software evolution.
Between 2008 and 2016, his most popular works were:
- Exception Handling Defects: An Empirical Study (31 citations)
- Empirical evidence of code decay: A systematic mapping study (10 citations)
- Software Defect Prediction Using Exception Handling Call Graphs: A Case Study (7 citations)
In his most recent research, the most cited papers focused on:
- Software
- Software engineering
- Artificial intelligence
Edward B. Allen mostly deals with Software, Software system, Software development, Software quality and Software metric.
His Software study integrates concerns from other disciplines, such as Reliability engineering, Scripting language and Source code.
His research in the fields of Software evolution overlaps with other disciplines such as Protocol.
His Software construction, Software verification and validation and Software visualization study, which is part of a larger body of work in Software development, is frequently linked to SQL injection and Cross-site scripting, bridging the gap between disciplines.
His Software quality research is multidisciplinary, incorporating perspectives in Software sizing and Data mining.
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