Neural code generation aims to automatically generate code snippets guided by Natural Language Descriptions (NLDs). In recent years, various neural code generation models for mainstream Programming Languages (PLs), such as Java and ...

Accurate classification of bugs can help accelerate the bug triage process, code inspection, and repair activities. In this context, many machine learning techniques have been proposed to classify bugs. The expressive power of deep ...

In order to enhance the efficiency of regression testing, test case prioritization (TCP) has been widely implemented, wherein a higher priority test case is executed earlier. Traditional TCP methods focus on improving the prioritization algorithm'...

Recently, software variants are adopted to build software product lines in the industry. In this adoption, the available assets (features, source code, design documents, etc.) are reused to build a software product line rather than ...

Code smells are patterns in source code associated with an increased defect rate and a higher maintenance effort than usual, but without a clear definition. Code smells are often detected using rules hard-coded in ...

• Random Forest and FDA perform the best overall.
• The best median MCC for Long ...

Mobile app reviews are a rich source of information for software evolution and maintenance. Several studies have shown the effectiveness of exploring relevant reviews in the software development lifecycle, such as ...

Software systems’ modular structure often drifts from the intended design throughout evolution. To improve the modular structure of a software system, the software clustering technology aiming to partition a ...

Design smell detection has proven to be a significant activity that has an aim of not only enhancing the software quality but also increasing its life cycle.

This work investigates whether machine learning approaches can ...

Issue reports are documents with which users report problems and state their opinions on a software system. Issue reports are useful for software maintenance, but managing them requires developers’ considerable ...

Malicious software deliberately affects the computer systems. Malware are analyzed using static or dynamic analysis techniques. Using these techniques, unique patterns are extracted to detect malware correctly. In this paper, a ...

Version Control Systems, such as Subversion, are standard repositories that preserve all of the maintenance changes undertaken to source code artifacts during the evolution of a software system. The documented data ...

Inspired by the success of deep learning in other domains, this new technique been gaining widespread recent interest in being applied to diverse data analysis problems in software engineering. Many deep learning ...

Topic modeling finds human-readable structures in unstructured textual data. A widely used topic modeling technique is Latent Dirichlet allocation. When running on different datasets, LDA suffers from “order effects”,...

ContextResearch and industry's attention has been focusing on developing systems that enable fast time to market in the short term, but would assure a sustainable delivery of business value and maintenance operations in the long run. A related ...

We propose a novel approach TLEL, which can be seen as a two-layer ensemble learning technique, to achieve a better performance for just-in-time defect prediction problem.We compare TLEL with three baselines, i.e., Deeper, DNC and MKEL, on six large ...

Empirical study on documented decisions based on 260 Firefox issue discussions.Shows that more naturalistic than rational decision-making was documented.Shows that developers mostly documented knowledge on decision context and solution.Further research ...

We have analyzed the evolution of 30 PHP Web applications.First study on Lehman's laws of software evolution for web applications.Laws implying continuous growth and maintenance are confirmed.However, laws implying increase of complexity and rapid ...

ContextThe technical debt metaphor describes the effect of immature artifacts on software maintenance that bring a short-term benefit to the project in terms of increased productivity and lower cost, but that may have to be paid off with interest later. ...

ContextOne of the most important factors in the development of a software project is the quality of their requirements. Erroneous requirements, if not detected early, may cause many serious problems, such as substantial additional costs, failure to meet ...

ContextMining software repositories has emerged as a research direction over the past decade, achieving substantial success in both research and practice to support various software maintenance tasks. Software repositories include bug repository, ...