User reviews of mobile apps provide an important communication channel between developers and users. Existing approaches to automated app review analysis mainly focus on one task (e.g., bug classification task, information extraction ...

Fuzzing is a highly effective approach for identifying software bugs and vulnerabilities. Among the various techniques employed, coverage-guided fuzzing stands out as particularly valuable, relying on tracing code coverage information. N-gram ...

Testing activities are essential for the quality assurance of mobile applications under development. Despite its importance, some studies show that testing is not widely applied in mobile applications. Some characteristics of mobile ...

AI code generators are revolutionizing code writing and software development, but their training on large datasets, including potentially untrusted source code, raises security concerns. Furthermore, these generators can produce ...

In today’s fast-paced digital landscape, integrating DevOps, cloud, and agile methodologies is crucial for meeting software demands. However, this integration remains under-researched.

This study explores the integration of ...

• Challenges, advantages and disadvantages of combining Agile, DevOps, and Cloud.
• The role of mindset in the integration of Agile, DevOps, and Cloud.
• Addressing mindset challenges for successful integration.
• The most suitable ...

Effective software testing requires test adequacy criteria. MC/DC, a widely used logic-based testing criterion, struggles to detect domain errors caused by incorrect arithmetic operations. Domain errors occur when test requirement ...

Mobile apps (software) are used in almost all aspects of daily life by billions of people. Given the widespread use of mobile apps in various domains, the demand for systematic testing of their Graphical User Interfaces (GUI) is crucial. ...

Test case generation is a critical yet challenging task in software development. Recently, AthenaTest – a Deep Learning (DL) approach for generating unit test cases has been proposed. However, our revisiting study reveals that AthenaTest ...

Logs record rich information that can help operators diagnose system failure [1]. Analyzing logs in log streams can expedite the diagnostic process and effectively mitigate the impact of failures. Log parsing is a prerequisite for automated log ...

Function calls in execution contain rich bivariate, hierarchical, and chronological information. Many visualizations have been adopted to analyze function calls in execution for program testing, vulnerability locating, and malware detection. ...

• Evaluating the ability of existing single-viewed function call visualizations.
• A new visualization of function calls in execution.
• A usage scenario of FCTree in malware verification and classification.

The performance of metamorphic testing relates strongly to the quality of test cases. However, most related research has only focused on source test cases, ignoring follow-up test cases to some extent. In this paper, we identify a ...

Quantum computing is becoming a reality, and quantum software engineering (QSE) is emerging as a new discipline to enable developers to design and develop quantum programs.

This paper presents a systematic mapping study of ...

An increasing number of software systems are written in multiple programming languages (PLs), which are called multi-programming-language (MPL) systems. MPL bugs (MPLBs) refers to the bugs whose resolution involves multiple PLs. Despite ...

The rapid evolution of Large Language Models (LLMs) has sparked significant interest in leveraging their capabilities for automating code review processes. Prior studies often focus on developing LLMs for code review automation, yet ...

Knowledge graphs (KG) can aggregate data and make information resources easier to calculate and understand. With tremendous advancements in knowledge graphs, they have been incorporated into plenty of software systems to assist various tasks. ...

• The software implementation may deviate from its design, resulting in low testability.
• A voting regressor model is proposed to predict design testability based on design metrics.
• The impact of different design metrics on design ...

The quality of software systems is significantly influenced by design testability, an aspect often overlooked during the initial phases of software development. The implementation may deviate from its design, resulting in decreased ...

Constructing an effective defect prediction model relies on a substantial number of labeled program modules. Unfortunately, program module labeling is often time-consuming and error-prone. Semi-supervised software defect prediction (SSDP)...

A software product line (SPL) grows in size as a new product is developed. A new product in an SPL should be tested extensively for quality assurance. For the efficient testing, previous studies suggested reusing the existing test cases ...

In this paper, we propose local polynomial software reliability models (SRMs), which can be categorized into a semi-parametric modeling framework. Our models belong to the common non-homogeneous Poisson process (NHPP)-based SRMs, but possess a ...

Blocking bugs prevents other bugs from being fixed, which is difficult to repair and negatively impacts software quality. During software maintenance, developers usually try to break the blocking relationship between blocking and blocked ...