Skip to main content (Press Enter)
Research Area

Software Engineering

Software Engineering (SE) is the branch of computer science that deals with the design, implementation, and maintenance of complex computer programs, emphasizing the entire software development process from initial idea to final product. The SE process encompasses several stages: from understanding end-user requirements to analyzing the financial, technical and operational aspects of software development, to creating a blueprint for the software, to coding, testing, installing, and maintaining it. Software engineering makes complex systems – from medical devices to the air traffic control network to nuclear power plants – operate effectively, safely, and reliably.

Research Topics

  • Mining Software Repositories: In MSR, software researchers and practitioners use data mining techniques to analyze the data in software repositories – such as source control repositories, bug repositories, archived communications, deployment logs, and code repositories – to extract useful and actionable information produced by developers during the software development process. Extracted data can be used to discover patterns and trends, support development activities, facilitate or improve maintenance of existing systems, and guide decision-making regarding future software development and evolution. MSR researchers have proposed techniques that augment traditional SE data, techniques and tools, to solve important and challenging problems, such as identifying bugs and reusing code, which practitioners must face and solve daily.
  • Recommender Systems: A recommender system is a type of information filtering system that seeks to predict the rating that a user would assign to an item in an online review, for example, the star rating that a consumer would give to a product purchased from an online retailer. Recommender systems aim to predict user interests and provide personalized recommendations to users, thus increasing sales, retaining customers, and enhancing users’ online experience. Different types of recommender systems have been developed, including content-based, collaborative filtering, hybrid recommender system, demographic and keyword-based recommender systems.

Faculty


  • Bram Adams
    Research Interests:
    • release engineering
    • devops
    • software analytics
    • human affect in software engineering
  • Juergen Dingel
    Research Interests:
    • software engineering
    • software modeling
    • software analysis
    • model-driven engineering
    • software quality assurance
    • formal specification and verification
  • Jana Dunfield
    Research Interests:
    • programming languages
    • logic
    • type systems
    • verification
    • incremental computation
  • Nick Graham
    Research Interests:
    • video game development
    • human-computer interaction
    • accessibility 
  • Ahmed E. Hassan
    Research Interests:
    • software systems
    • software engineering
    • data analytics
  • David Lamb
    Research Interests:
  • Yuan Tian
    Research Interests:
    • Software engineering
    • Applied machine learning
    • Recommender systems
    • Deep learning
    • Mining software repositories
  • Mohammad Zulkernine
    Research Interests:
    • Cyber-Physical System (IoT and Vehicle) Security
    • Software Reliability
    • Security Engineering
All Research Faculty
Back to top