What is he best known for?
The fields of study he is best known for:
- Operating system
- Software
- The Internet
Hausi A. Müller mostly deals with Software engineering, Software system, Software development, Software and Software construction.
His research integrates issues of Software design, Legacy system, Set, Reverse engineering and Software quality in his study of Software engineering.
His Software system study contributes to a more complete understanding of Programming language.
The Software study combines topics in areas such as Graph and Autonomic computing.
His Software construction research focuses on subjects like Component-based software engineering, which are linked to Documentation and Goal-Driven Software Development Process.
His Social software engineering research incorporates themes from System of systems engineering and Software Engineering Process Group.
His most cited work include:
- Software Engineering for Self-Adaptive Systems: A Research Roadmap (864 citations)
- Software Engineering for Self-Adaptive Systems : A Second Research Roadmap (523 citations)
- Engineering Self-Adaptive Systems through Feedback Loops (424 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Software engineering, Software system, Software, Software development and World Wide Web.
His Software engineering research is multidisciplinary, relying on both Software maintenance, Software analytics, Reverse engineering, Software verification and validation and Social software engineering.
His Social software engineering study which covers Personal software process that intersects with Package development process.
His Software system research is multidisciplinary, incorporating elements of Software development process and Systems engineering.
His Software study also includes
- Source code which intersects with area such as Documentation,
- Autonomic computing which intersects with area such as Systems design.
His World Wide Web research includes themes of Multimedia and Data science.
He most often published in these fields:
- Software engineering (45.80%)
- Software system (30.67%)
- Software (20.17%)
What were the highlights of his more recent work (between 2014-2021)?
- Software engineering (45.80%)
- Software (20.17%)
- Software system (30.67%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Software engineering, Software, Software system, World Wide Web and Cyber-physical system.
His Software engineering study combines topics from a wide range of disciplines, such as Control, Abstraction layer, Reverse engineering, Adaptive system and Adaptive software.
In his work, Requirements engineering is strongly intertwined with Systems engineering, which is a subfield of Adaptive system.
The study incorporates disciplines such as Controllability and Software deployment in addition to Software.
His Software system course of study focuses on Key and Decomposition, Variety and Software development process.
Hausi A. Müller has researched World Wide Web in several fields, including Context management, Watson and Personally identifiable information.
Between 2014 and 2021, his most popular works were:
- Software engineering for self-adaptive systems: research challenges in the provision of assurances (50 citations)
- ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime (33 citations)
- The Rise of Intelligent Cyber-Physical Systems (19 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Software
- The Internet
Hausi A. Müller spends much of his time researching Software system, Software engineering, Software, Cyber-physical system and Autonomic computing.
His work in Software system addresses subjects such as Key, which are connected to disciplines such as Decomposition.
His study of Metamodeling is a part of Software engineering.
His work deals with themes such as Computer security, Intelligent decision support system and Controllability, Control theory, which intersect with Software.
His studies examine the connections between Cyber-physical system and genetics, as well as such issues in Data science, with regards to Focus.
Autonomic computing is closely attributed to Multimedia in his research.
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