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ICSE 2022
Sun 8 - Fri 27 May 2022
Sun 8 May 2022 12:30 - 12:45 at NLBSE room - Paper Session 2 Chair(s): Andrea Di Sorbo, Sebastiano Panichella

Estimating the software projects’ efforts developed by agile methods is important for project managers or technical leads. It provides a summary as a first view of how many hours and developers are required to complete the tasks. There are research works on automatic predicting the software efforts, including Term Frequency - Inverse Document Frequency (TFIDF) as the traditional approach for this problem. Graph Neural Network is a new approach that has been applied in Natural Language Processing for text classification. The advantages of Graph Neural Network are based on the ability to learn information via graph data structure, which has more representations such as the relationships between words compared to approaches of vectorizing sequence of words. In this paper, we show the potential and possible challenges of Graph Neural Network text classification in story point level estimation. By the experiments, we show that the GNN Text Level Classification can achieve as high accuracy as about 80% for story points level classification, which is comparable to the traditional approach. We also analyze the GNN approach and point out several current disadvantages that the GNN approach can improve for this problem or other problems in software engineering.

Sun 8 May

Displayed time zone: Eastern Time (US & Canada) change

11:20 - 12:45
Paper Session 2NLBSE at NLBSE room
Chair(s): Andrea Di Sorbo University of Sannio, Sebastiano Panichella Zurich University of Applied Sciences
On the Evaluation of NLP-based Models for Software Engineering
Maliheh Izadi Delft University of Technology, Matin Nili Ahmadabadi University of Tehran
Identification of Intra-Domain Ambiguity using Transformer-based Machine Learning
Ambarish Moharil Eindhoven University of Technology, Arpit Sharma
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation
Pietro Liguori University of Naples Federico II, Cristina Improta University of Naples Federico II, Simona De Vivo University of Naples Federico II, Roberto Natella Federico II University of Naples, Bojan Cukic University of North Carolina at Charlotte, Domenico Cotroneo University of Naples Federico II
Supporting Systematic Literature Reviews Using Deep-Learning-Based Language Models
Rand Alchokr Otto von Guericke University, Manoj Borkar , Sharanya Thotadarya otto von Guericke University, Thomas Leich Harz University of Applied Sciences, Germany, Gunter Saake Otto von Guericke University
Story Point Level Classification by Text Level Graph Neural Network
Hung Phan , Ali Jannesari Iowa State University

Information for Participants
Sun 8 May 2022 11:20 - 12:45 at NLBSE room - Paper Session 2 Chair(s): Andrea Di Sorbo, Sebastiano Panichella
Info for room NLBSE room:

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