Software analysis and testing, empirical software engineering, mining code repositories. Model-driven engineering requirements engineering Requirements engineeringĮlicitation, specification, analysis and validation of requirements model-driven requirements engineering goal-oriented modeling requirements reuse User Requirements Notation (URN). Reliability Modeling: Optimal Checkpointing Interval for Task Duplication with Spare Processing (S Nakagawa et al.) Software Quality Engineering: Software. Release engineeringĪssembling, verifying, and delivering official releases of software systems from raw materials such as source code, documentation, configuration, and data files build systems, release pipelines, continuous integration, deployment, and delivery.

Modeling languages concerns, aspects, viewpoints advanced separation of concerns model queries and transformations code generators model-based analysis model-based reuse model management concern-driven development. Mining the historical data that is produced during the development of software systems to yield actionable insights data mining statistical regression analysis machine learning.

Resource management in cloud computing inter-cloud frameworks and management software architectures for Internet-of-things security and trust in Internet-of-things. In Software Engineering, Prototype methodology is a software development model in which a prototype is built, test and then reworked when needed until an acceptable prototype is achieved. Runtime monitoring design space exploration formal assurance of dependability, safety and resilience certification self-adaptive smart systems.

Analysis model in software engineering