2023 - Research.com Computer Science in Australia Leader Award
His primary scientific interests are in Software engineering, Knowledge management, Software architecture, Software development and Software. His Software engineering research is multidisciplinary, incorporating perspectives in Software peer review, Software quality, Reuse and Systems engineering. His study on Body of knowledge is often connected to Empirical research as part of broader study in Knowledge management.
His research in Software architecture focuses on subjects like Architectural pattern, which are connected to Reference architecture. His studies in Software development integrate themes in fields like Outsourcing and Engineering management. His studies deal with areas such as Management science and Data science as well as Software.
The scientist’s investigation covers issues in Software engineering, Software architecture, Software, Knowledge management and Software development. His Software engineering study combines topics in areas such as Quality, Architectural pattern, Resource-oriented architecture, Systems engineering and Reference architecture. His research integrates issues of Software system, Software quality, Process and Process management in his study of Software architecture.
His study in Process management is interdisciplinary in nature, drawing from both Empirical process, Lean software development and Agile software development. The various areas that Muhammad Ali Babar examines in his Software study include Domain, Software deployment and Data science. His Knowledge management study integrates concerns from other disciplines, such as Enterprise architecture management and Software development process.
Muhammad Ali Babar mainly investigates Big data, Software engineering, Quality, Computer security and Data science. The concepts of his Software engineering study are interwoven with issues in Software architecture, Orchestration, Data warehouse and Uml profile. His biological study spans a wide range of topics, including Requirements analysis and DevOps.
His studies in Quality integrate themes in fields like Syntax, Software, Maintainability and Java. Many of his research projects under Software are closely connected to Code and Building automation with Code and Building automation, tying the diverse disciplines of science together. As part of one scientific family, he deals mainly with the area of Data science, narrowing it down to issues related to the Domain, and often Emerging technologies and Blockchain.
Muhammad Ali Babar focuses on Big data, Data management, Computer security, Software deployment and Empirical research. His Big data study incorporates themes from Smart environment, Scalability, Identification, Usability and Analytics. His work deals with themes such as Quality, Identifier and Common Vulnerabilities and Exposures, which intersect with Computer security.
His Software deployment research incorporates themes from Domain, Key and Process management. His Process management research includes elements of Software architecture, Resource, Continuous delivery and DevOps. Muhammad Ali Babar studied Process and Machine learning that intersect with Artificial intelligence.
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.
Identifying relevant studies in software engineering
He Zhang;Muhammad Ali Babar;Paolo Tell.
(2011)
Identifying relevant studies in software engineering
He Zhang;Muhammad Ali Babar;Paolo Tell.
(2011)
Using Scrum in Global Software Development: A Systematic Literature Review
Emam Hossain;Muhammad Ali Babar;Hye-young Paik.
(2009)
Using Scrum in Global Software Development: A Systematic Literature Review
Emam Hossain;Muhammad Ali Babar;Hye-young Paik.
(2009)
Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices
Mojtaba Shahin;Muhammad Ali Babar;Liming Zhu.
(2017)
Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices
Mojtaba Shahin;Muhammad Ali Babar;Liming Zhu.
(2017)
Variability management in software product lines: a systematic review
Lianping Chen;Muhammad Ali Babar;Nour Ali.
(2009)
Variability management in software product lines: a systematic review
Lianping Chen;Muhammad Ali Babar;Nour Ali.
(2009)
Software quality and agile methods
Ming Huo;J. Verner;Liming Zhu;M.A. Babar.
(2004)
Software quality and agile methods
Ming Huo;J. Verner;Liming Zhu;M.A. Babar.
(2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Northeastern University
Commonwealth Scientific and Industrial Research Organisation
King Fahd University of Petroleum and Minerals
Keele University
Vrije Universiteit Amsterdam
University of Groningen
Tsinghua University
Norwegian University of Science and Technology
Macquarie University
University of British Columbia
University of California, Los Angeles
University of Michigan–Ann Arbor
Dartmouth College
Université de Caen Normandie
Yüzüncü Yıl University
Central South University
Pathwest Laboratory Medicine
Swedish University of Agricultural Sciences
Brighton and Sussex Medical School
Université Paris Cité
The University of Texas at Austin
University of Newcastle Australia
University of Georgia
King's College London
Armed Forces Institute of Pathology
Syracuse University