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A technical paper co-authored by current and former Phase Change research scientists, and presented at the 2021 annual ICSME event, won a Distinguished Paper Award from the IEEE Computer Society Technical Council on Software Engineering (TCSE). The paper, “Contemporary COBOL: Developers’ Perspectives on Defects and Defect Location,” was co-authored by current Phase Change Senior Research […]
The International Conference on Software Maintenance and Evolution (ICSME) 2021 accepted a technical paper authored by current and former Phase Change research scientists for presentation at its 37th annual event in Luxembourg City, Great Duchy of Luxembourg, September 27 – October 1. The paper, “Contemporary COBOL: Developers’ Perspectives on Defects and Defect Location,” was co-authored […]
Phase Change research scientist Rahul Pandita’s co-written paper, “A Conceptual Framework for Engineering Chatbots,” was recently published in the November-December 2018 issue of IEEE Internet Computing^. The industry magazine is published bi-monthly by the Institute for Electrical and Electronics Engineers (IEEE) Computer Society for evaluating and reviewing Internet-based computer applications and enabling technologies. It focuses […]
Phase Change research scientist Dr. Rahul Pandita recently had two co-written papers published in well-known research journals. The first paper, “Are vulnerabilities discovered and resolved like other defects?,” was published in the June 2018 volume of the Empirical Software Engineering: An International Journal and presented as a Journal First Paper at the 40th International Conference […]
Research Scientist Aleksander Chakarov, Ph.D., presented a recently published Phase Change workshop paper at the 32nd AAAI Conference on Artificial Intelligence in February. The AAAI conference is held each spring by the Association for the Advancement of Artificial Intelligence (AAAI) nonprofit and scientific society to promote research in artificial intelligence (AI) and scientific discussion among […]
Our research scientists recently published a workshop paper on the lessons learned implementing the company’s natural-language chat interface. This post summarizes the key lessons learned and identifies the open questions we faced during our initial implementation. Phase Change is developing a ground-breaking cognitive platform and an AI-based collaborative agent, called Mia, that will dramatically improve […]
