What is he best known for?
The fields of study he is best known for:
- Statistics
- Software
- Operating system
His scientific interests lie mostly in Software, Software development, Software engineering, Knowledge management and Software metric.
His studies in Software integrate themes in fields like Reliability engineering and Code.
His study in Source code extends to Software development with its themes.
The various areas that he examines in his Software engineering study include Application software and Code smell.
The concepts of his Knowledge management study are interwoven with issues in Change management, Data science and Product.
Audris Mockus has researched Software metric in several fields, including Code review, Data mining, Software quality analyst and Artificial intelligence.
His most cited work include:
- Two case studies of open source software development: Apache and Mozilla (1466 citations)
- An empirical study of speed and communication in globally distributed software development (849 citations)
- Does code decay? Assessing the evidence from change management data (564 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Software, Software engineering, Software development, Code and Data science.
His Software research focuses on Source code and how it relates to Database.
His research integrates issues of Software system, Software maintenance, Software sizing and Software metric in his study of Software engineering.
Personal software process, Software construction, Social software engineering, Package development process and Software development process are the core of his Software development study.
His Personal software process study integrates concerns from other disciplines, such as Software project management and Software peer review.
His Code research includes themes of Structure, Key and Commit.
He most often published in these fields:
- Software (34.69%)
- Software engineering (26.02%)
- Software development (23.47%)
What were the highlights of his more recent work (between 2017-2021)?
- Software (34.69%)
- Code (14.29%)
- Data science (12.76%)
In recent papers he was focusing on the following fields of study:
Audris Mockus mainly investigates Software, Code, Data science, Information retrieval and World Wide Web.
His Software research is multidisciplinary, relying on both Supply chain, Dependency and Software engineering.
His research in Dependency intersects with topics in Software development and Upstream, Downstream.
His Software engineering research incorporates elements of Software measurement, Component-based software engineering, Replication and Linux kernel.
His Code research integrates issues from Identification, Structure, Heuristics, Source code and Alias.
His World Wide Web study combines topics in areas such as Set, Commit and Focus.
Between 2017 and 2021, his most popular works were:
- World of code: an infrastructure for mining the universe of open source VCS data (33 citations)
- Are Software Dependency Supply Chain Metrics Useful in Predicting Change of Popularity of NPM Packages (24 citations)
- Detecting and Characterizing Bots that Commit Code (18 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Software
- Operating system
Audris Mockus mainly focuses on Software, Code, Data science, Source code and Commit.
Audris Mockus does research in Software, focusing on Software quality specifically.
His biological study spans a wide range of topics, including Identification, World Wide Web, Heuristics, Software mining and Alias.
Audris Mockus interconnects Open source and Key in the investigation of issues within Data science.
Source code is frequently linked to Graph in his study.
His work carried out in the field of Commit brings together such families of science as Markdown, JSON and YAML.
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