19 citations · 57 across the 17 of their papers we have counts for
6 papers · 1 filter
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
Amin Eslami Abyane, Hadi Hemmati
With the recent increase in the computational power of modern mobile devices, machine learning-based heavy tasks such as face detection and speech recognition are now integral part…
Applying CodeBERT for Automated Program Repair of Java Simple Bugs
Ehsan Mashhadi, Hadi Hemmati
Software debugging, and program repair are among the most time-consuming and labor-intensive tasks in software engineering that would benefit a lot from automation. In this paper,…
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
Maryam Vahdat Pour, Zhuo Li, Lei Ma +1
Over the past few years, deep neural networks (DNNs) have been continuously expanding their real-world applications for source code processing tasks across the software engineering…
GloBug: Using Global Data in Fault Localization
Nima Miryeganeh, Sepehr Hashtroudi, Hadi Hemmati
Fault Localization (FL) is an important first step in software debugging and is mostly manual in the current practice. Many methods have been proposed over years to automate the FL…
A Pragmatic Approach for Hyper-Parameter Tuning in Search-based Test Case Generation
Shayan Zamani, Hadi Hemmati
Search-based test case generation, which is the application of meta-heuristic search for generating test cases, has been studied a lot in the literature, lately. Since, in theory,…
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems
Foozhan Ataiefard, Mohammad Jafar Mashhadi, Hadi Hemmati +1
Many software engineering tasks, such as testing, and anomaly detection can benefit from the ability to infer a behavioral model of the software.Most existing inference approaches…