Titlebook: Dependable Software Engineering. Theories, Tools, and Applications; 9th International Sy Holger Hermanns,Jun Sun,Lei Bu Conference proceedi

arthrodesis

ESPY

dithiolethione

Pastry

Victor Korotkikh,Galina Korotkikhefficiently and effectively detect crash bugs in Android apps. However, it faces challenges in reproducing the crash bugs it detects. To deeply understand the symptoms and root causes of these challenges, we conducted a comprehensive study on the reproducibility issues of . with Android apps. We foc

Lasting

Victor Korotkikh,Galina Korotkikhftware complexity by enabling automated model creation and transformation. Consequently, many software development firms are actively seeking integrated development platforms (IDP) to enhance automation within their software production processes. However, the adoption of MDE and the utilisation of I

climax

FIR

大洪水

Ali Hussein Samadi,Masoumeh Alipourianrators, which limits their usage in related scenes. To address the problem, we comprehensively model the operators of regexes and apply the modeling method to solve regex crossword puzzles. Firstly, to solve the challenges of comprehensive modeling of regexes, we propose an over-approximate modeling

好色

Nezameddin Faghih,Mahshid Sazegars of labeled data to train detection models. On the one hand, a major assumption is that the training and test data follow an identical distribution. However, vulnerabilities in different software projects may exhibit various distributions due to their application scenarios, coding habits, and other

averse

Yu. Z. Miropol’sky,O. D. Shishkina areas has raised public concerns about their correctness and robustness. To provide testing evidence for the dependable behavior of Deep Neural Networks (DNNs), various DL coverage criteria have been proposed. These coverage criteria are often “ad-hoc” in terms of granularity for different tasks, b