17 citations · 42 across the 6 of their papers we have counts for
6 papers
On the Applicability of Explainable Artificial Intelligence for Software Requirement Analysis
Behnaz Jamasb, Reza Akbari, Seyed Raouf Khayami
The applications of Artificial Intelligence (AI) methods especially machine learning techniques have increased in recent years. Classification algorithms have been successfully app…
Deep Learning Methods for Software Requirement Classification: A Performance Study on the PURE dataset
Fatemeh Khayashi, Behnaz Jamasb, Reza Akbari +1
Requirement engineering (RE) is the first and the most important step in software production and development. The RE is aimed to specify software requirements. One of the tasks in…
Using Word Embedding and Convolution Neural Network for Bug Triaging by Considering Design Flaws
Reza Sepahvand, Reza Akbari, Behnaz Jamasb +2
Resolving bugs in the maintenance phase of software is a complicated task. Bug assignment is one of the main tasks for resolving bugs. Some Bugs cannot be fixed properly without ma…
MOBAFS: A Multi Objective Bee Algorithm for Feature subset selection in Software Product Lines
Nahid Hajizadeh, Peyman Jahanbazi, Reza Akbari
Software product line represents software engineering methods, tools and techniques for creating a group of related software systems from a shared set of software assets. Each prod…
Software Defect Prediction Based On Deep Learning Models: Performance Study
Ahmad Hasanpour, Pourya Farzi, Ali Tehrani +1
In recent years, defect prediction, one of the major software engineering problems, has been in the focus of researchers since it has a pivotal role in estimating software errors a…
DeepRace: Finding Data Race Bugs via Deep Learning
Ali Tehrani, Mohammed Khaleel, Reza Akbari +1
With the proliferation of multi-core hardware, parallel programs have become ubiquitous. These programs have their own type of bugs known as concurrency bugs and among them, data r…