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Server-side request forgeries (SSRFs) are inevitable in PHP web applications. Existing static taint analysis tools for PHP suffer from both high rates of false positives and false negatives in detecting SSRF because they do not incorporate application-...

Large language models (LLMs) have demonstrated impressive capabilities across various natural language processing (NLP) tasks, such as machine translation, question answering, summarization, and so on. Additionally, LLMs are also highly valuable in ...

Recent advancements in large language models (LLMs) have demonstrated exceptional success in a wide range of general domain tasks, such as question answering and following instructions. Moreover, LLMs have shown potential in various software engineering ...

Unit testing is critical to the software development process, ensuring the correctness of basic programming units in a program (e.g., a method). Search-based software testing (SBST) is an automated approach to generating test cases. SBST generates test ...

In [1, p. 4967], a figure citation is incorrect and “Fig. 3(c)” should be “Fig. 1(c)” in the left column, the fourth line from the bottom. It is corrected below.

Existing Android malware detection systems primarily concentrate on detecting malware apps, leaving a gap in the research concerning the detection of malicious components in apps. In this work, we propose a novel approach to detect fine-granularity ...

Code coverage has been widely used as the basis for various software quality assurance techniques. Therefore, it is of great importance to ensure that coverage profilers provide reliable code coverage. However, it is challenging to validate the ...

Removing all function errors is critical for making successful mobile apps. Since app testing may miss some function errors given limited time and resource, the user reviews of mobile apps are very important to developers for learning the uncaught errors. ...

Deep learning is a powerful technique to boost application performance in various fields, including face recognition, image classification, natural language understanding, and recommendation system. With the rapid increase in the computing power ...

In this paper, we propose an effective black‐box approach by training substitute models to spoof the deep learning systems inside the apps. We evaluate our approach on 10 real‐world deep‐learning apps from Google Play to perform black‐box adversarial ...

Unit testing is a critical part of software development process, ensuring the correctness of basic programming units in a program (e.g., a method). Search-based software testing (SBST) is an automated approach to generating test cases. SBST generates ...

Being able to automatically detect the performance issues in apps can significantly improve apps&#x2019; quality as well as having a positive influence on user satisfaction. <underline>A</underline>pplication <underline>P</underline>erformance <underline>...

Online content sharing is a widely used feature in Android apps. In this paper, we observe a new Fake-Share attack that adversaries can abuse existing content sharing services to manipulate the displayed source of shared content to bypass the content ...

In recent years, many works spring out to adopt the forecast-based approach to support the investment decision in the financial market. Nevertheless, most of them do not consider mining the hidden patterns in the cross-regional ...

• Present a method for learning the hidden patterns of the financial time-series.

Android mobile apps have played important roles in our daily life and work. To meet new requirements from users, the mobile apps encounter frequent updates, which involves in a large quantity of code commits. Previous studies proposed to apply Just-in-...

With the continuous development of deep learning in computer vision, semantic segmentation technology is constantly employed for processing remote sensing images. For instance, it is a key technology to automatically mark important objects such as ships ...

Smartphone vendors are using multiple methods to kill processes of Android apps to reduce the battery consumption. This motivates developers to find ways to extend the liveness time of their apps, hence the name diehard apps in this paper. Although ...

Android deep link is a URL that takes users to a specific page of a mobile app, enabling seamless user experience from a webpage to an app. Android app link, a new type of deep link introduced in Android 6.0, is claimed to offer more benefits, such as ...

• Proposing a novel framework to learn deep feature representation for software defect data
• Utilizing a deep neural network with a new hybrid loss function
• Conducting experiments on 27 project versions and achieving encourage ...

Software Defect Prediction (SDP) aims to detect defective modules to enable the reasonable allocation of testing resources, which is an economically critical activity in software quality assurance. Learning effective feature representation and ...

Since the performance issues of apps can influence users' experience, developers leverage application performance management (APM) tools to locate the potential performance bottleneck of their apps. Unfortunately, most developers do not understand how ...

Defect prediction assists the rational allocation of testing resources by detecting the potentially defective software modules before releasing products. When a project has no historical labeled defect data, cross project defect prediction (CPDP) ...