Heterogeneous Graph Neural Networks for Software Effort Estimation
Hung M. Phan, Ali Jannesari
Abstract
Background. Software effort can be measured by story point [35]. Story point estimation is important in software projects’ planning. Current approaches for automatically estimating story points focus on applying pre-trained embedding models and deep learning for text regression to solve this problem. These approaches require expensive embedding models and confront challenges that the sequence of text might not be an efficient representation for software issues which can be the combination of text and code.
Topics & Concepts
Computer scienceArtificial neural networkGraphSoftwareEstimationSoftware-defined networkingArtificial intelligenceTheoretical computer scienceDistributed computingProgramming languageEngineeringSystems engineeringSoftware Engineering ResearchSoftware Reliability and Analysis ResearchSoftware System Performance and Reliability