activity
20182026
most citedExperimental evaluation of architectural software performance design patterns in microservices

24 citations · 109 across the 40 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.SE2023★ 17 cited

Instance Space Analysis of Search-Based Software Testing

Neelofar Neelofar, Kate Smith-Miles, Mario Andres Munoz +1

Search-based software testing (SBST) is now a mature area, with numerous techniques developed to tackle the challenging task of software testing. SBST techniques have shown promisi…

cs.SE2023

Neuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation

Jian Gu, Aldeida Aleti, Chunyang Chen +1

Language Models (LMs) have become widely used in software engineering, especially for tasks such as code generation, where they are referred to as code LMs. These models have prove…

cs.SE2023

Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles

Neelofar Neelofar, Aldeida Aleti

AI-powered systems have gained widespread popularity in various domains, including Autonomous Vehicles (AVs). However, ensuring their reliability and safety is challenging due to t…

cs.SE2023★ 1 cited

Software Testing of Generative AI Systems: Challenges and Opportunities

Aldeida Aleti

Software Testing is a well-established area in software engineering, encompassing various techniques and methodologies to ensure the quality and reliability of software systems. Ho…

cs.SE2023

Closing the Loop for Software Remodularisation -- REARRANGE: An Effort Estimation Approach for Software Clustering-based Remodularisation

Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti

Software remodularization through clustering is a common practice to improve internal software quality. However, the true benefit of software clustering is only realized if develop…

cs.SE2023★ 7 cited

A3Test: Assertion-Augmented Automated Test Case Generation

Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti

Test case generation is an important activity, yet a time-consuming and laborious task. Recently, AthenaTest -- a deep learning approach for generating unit test cases -- is propos…