What is he best known for?
The fields of study he is best known for:
- Software
- Operating system
- Software engineering
Nachiappan Nagappan mostly deals with Software quality, Software, Software engineering, Windows Vista and Software metric.
His work carried out in the field of Software quality brings together such families of science as Software construction, Reliability engineering, Field and Code.
The Software study combines topics in areas such as Domain, Data mining, Artificial intelligence, Machine learning and Empirical research.
His Software engineering research is multidisciplinary, incorporating perspectives in Empirical process and Process.
His research integrates issues of Software development process, Overhead, Test code and Distributed development in his study of Windows Vista.
His Software metric research is multidisciplinary, incorporating elements of Software measurement and Windows Server.
His most cited work include:
- Mining metrics to predict component failures (646 citations)
- Use of relative code churn measures to predict system defect density (617 citations)
- Understanding network failures in data centers: measurement, analysis, and implications (547 citations)
What are the main themes of his work throughout his whole career to date?
Nachiappan Nagappan mainly investigates Software, Software engineering, Software quality, Software development and Reliability engineering.
His studies in Software integrate themes in fields like Empirical research, Data mining and Process.
The concepts of his Software engineering study are interwoven with issues in Software analytics, Software development process, Personal software process, Software peer review and Social software engineering.
His study in Software quality is interdisciplinary in nature, drawing from both Windows Vista, Code and Software construction.
His biological study spans a wide range of topics, including Database, Knowledge management and Process management.
His work deals with themes such as Test suite, Test case, Software reliability testing, Static program analysis and Reliability, which intersect with Reliability engineering.
He most often published in these fields:
- Software (37.43%)
- Software engineering (35.67%)
- Software quality (26.90%)
What were the highlights of his more recent work (between 2019-2021)?
- Software (37.43%)
- Artificial intelligence (5.85%)
- Machine learning (4.68%)
In recent papers he was focusing on the following fields of study:
Software, Artificial intelligence, Machine learning, Information retrieval and Debugging are his primary areas of study.
His Software research incorporates elements of Knowledge management and Scale.
His research investigates the connection between Artificial intelligence and topics such as Service that intersect with issues in Key, Dependency and World Wide Web.
Nachiappan Nagappan has researched Machine learning in several fields, including Python, Popularity, Unit testing and Traceability.
His Information retrieval study which covers Program synthesis that intersects with Programming by example, Code, Exploit and Program transformation.
Much of his study explores Order relationship to Software engineering.
Between 2019 and 2021, his most popular works were:
- A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic. (9 citations)
- An Empirical Study of Software Exceptions in the Field using Search Logs (3 citations)
- Nudge: Accelerating Overdue Pull Requests Towards Completion. (2 citations)
In his most recent research, the most cited papers focused on:
- Software
- Operating system
- The Internet
Nachiappan Nagappan mostly deals with Software, Code refactoring, Narrative, Key and Correlation analysis.
His Software research incorporates themes from Metadata, Application programming interface, Questionnaire, Field and Documentation.
Nachiappan Nagappan has included themes like Predictive modelling, Android, Open source and Software engineering in his Code refactoring study.
His Narrative research spans across into areas like Quantitative analysis, Pandemic and Scale.
Nachiappan Nagappan combines subjects such as Dependency, World Wide Web and Service with his study of Key.
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