Intelligent and Context-Aware Information Filtering in Continuous Integration Pipeline using the Eiffel Protocol

Sammanfattning: Software development has gotten more complex and certain parts being more and more automated. Continuous integration practices with automated build and testing greatly benefit the development process. Combined with continuous deployment, the software can go directly from commit to deployment within hours or days which means that every commit is a possible deployment. The ability to trace links between artifacts is known as software traceability which has become a necessity and requirement in the industry. Following these traces and the ability to answer questions and base decisions on them is a complex problem. Tools already used in the industry are hard to adapt since every stakeholder requires different needs. Eiffel protocol aims to be as flexible and scalable as possible to fit as many needs as necessary for the stakeholder. This thesis provides an extension to Eiffel-store, an already existing open-source application that can visualize events in the Eiffel protocol that will be extended with functionality so that it can filter events and answer some questions stakeholders might have.