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Related papers: Static Analysis Deployment Pitfalls

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Current evaluations of tool-integrated LLM agents typically focus on end-to-end tool-usage evaluation while neglecting their stability. This limits their real-world applicability, as various internal or external factors can cause agents to…

Computation and Language · Computer Science 2025-06-30 Weimin Xiong , Ke Wang , Yifan Song , Hanchao Liu , Sai Zhou , Wei Peng , Sujian Li

Software fault localization is one of the most expensive, tedious, and time-consuming activities in program debugging. This activity becomes even much more challenging in Software Product Line (SPL) systems due to the variability of…

Software Engineering · Computer Science 2021-09-22 Kien-Tuan Ngo , Thu-Trang Nguyen , Son Nguyen , Hieu Dinh Vo

The sources of reliable, code-level information about vulnerabilities that affect open-source software (OSS) are scarce, which hinders a broad adoption of advanced tools that provide code-level detection and assessment of vulnerable OSS…

Software Engineering · Computer Science 2021-05-10 Therese Fehrer , Rocío Cabrera Lozoya , Antonino Sabetta , Dario Di Nucci , Damian A. Tamburri

Usually, managers or technical leaders in software projects assign issues manually. This task may become more complex as more detailed is the issue description. This complexity can also make the process more prone to errors (misassignments)…

Software Engineering · Computer Science 2021-04-06 Pedro Oliveira , Rossana M. C. Andrade , Tales P. Nogueira , Isaac Barreto , Leandro Morais Bueno

Despite being the most popular programming language, Python has not yet received enough attention from the community. To the best of our knowledge, there is no general static analysis framework proposed to facilitate the implementation of…

Software Engineering · Computer Science 2022-02-25 Li Li , Jiawei Wang , Haowei Quan

To remain viable and thrive, software organizations must rapidly adapt to frequent, and often rather far-ranging, changes to their operational context. These changes typically concern many factors, including the nature of the organization's…

Software Engineering · Computer Science 2013-12-18 Alexis Ocampo , Fabio Bella , Jürgen Münch

Software product lines (SPL) are a method for the development of variant-rich software systems. Compared to non-variable systems, testing SPLs is extensive due to an increasingly amount of possible products. Different approaches exist for…

Software Engineering · Computer Science 2015-04-10 Hartmut Lackner , Martin Schmidt

Deep Learning (DL) is finding its way into a growing number of mobile software applications. These software applications, named as DL based mobile applications (abbreviated as mobile DL apps) integrate DL models trained using large-scale…

Software Engineering · Computer Science 2021-02-11 Zhenpeng Chen , Huihan Yao , Yiling Lou , Yanbin Cao , Yuanqiang Liu , Haoyu Wang , Xuanzhe Liu

Starting from two case histories, where only after thorough Failure Analysis the suddenly appearance of a failure was linked to much earlier events, the possibility of improving the reliability and of adjusting the reliability prediction…

Other Condensed Matter · Physics 2007-09-17 G. Mura , G. Cassanelli

Synchronization is the Achilles heel of concurrent programs. Synchronization requirement is often used to ensure that the execution of the concurrent program can be serialized. Without synchronization requirement, a program suffers from…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-10 Duong Nguyen , Arya Tanmay Gupta , Sandeep S. Kulkarni

Performance analysis has always been an afterthought during the application development process, focusing on application correctness first. The learning curve of the existing static and dynamic analysis tools are steep, which requires…

Machine Learning · Computer Science 2021-04-23 Nathan Pinnow , Tarek Ramadan , Tanzima Z. Islam , Chase Phelps , Jayaraman J. Thiagarajan

Most of the data produced in software projects is of textual nature: source code, specifications, or documentations. The advances in quantitative analysis methods drove a lot of data analytics in software engineering. This has overshadowed…

Software Engineering · Computer Science 2016-12-02 S. Wagner , D. Méndez Fernández

Following the development of digitization, a growing number of large Original Equipment Manufacturers (OEMs) are adapting computer vision or natural language processing in a wide range of applications such as anomaly detection and quality…

Machine Learning · Computer Science 2022-12-07 Qiang Li , Chongyu Zhang

The task of designing secure software systems is fraught with uncertainty, as data on uncommon attacks is limited, costs are difficult to estimate, and technology and tools are continually changing. Consequently, experts may interpret the…

Cryptography and Security · Computer Science 2013-06-03 Simon Miller , Susan Appleby , Jonathan M. Garibaldi , Uwe Aickelin

Traditional static resource analyses estimate the total resource usage of a program, without executing it. In this paper we present a novel resource analysis whose aim is instead the static profiling of accumulated cost, i.e., to discover,…

Programming Languages · Computer Science 2016-10-18 Pedro Lopez-Garcia , Maximiliano Klemen , Umer Liqat , Manuel V. Hermenegildo

Software Development (SD) is remarkably dynamic and is critically dependent on the knowledge acquired by the project's software developers as the project progresses. Software developers need to understand large amounts of information…

Software Engineering · Computer Science 2023-05-02 Glaucia Melo , Luis Fernando Lins , Paulo Alencar , Donald Cowan

Failure detection protocols---a fundamental building block for crafting fault-tolerant distributed systems---are in many cases described by their authors making use of informal pseudo-codes of their conception. Often these pseudo-codes use…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-15 Vincenzo De Florio , Chris Blondia

Treating modern firewall policy languages as imperative, special purpose programming languages, in this article we will try to apply static code analysis techniques for the purpose of anomaly detection. We will first abstract a policy in…

Programming Languages · Computer Science 2011-02-08 Vadim Zaliva

Debugging Cyber-Physical System (CPS) models can be extremely complex. Indeed, only the detection of a failure is insuffcient to know how to correct a faulty model. Faults can propagate in time and in space producing observable…

Software Engineering · Computer Science 2020-10-14 Ezio Bartocci , Niveditha Manjunath , Leonardo Mariani , Cristinel Mateis , Dejan Ničković

As security becomes more relevant for many companies, the popularity of static program analysis (SPA) tools is increasing. In this paper, we target the use of SPA tools among companies in Germany with a focus on security. We give insights…

Cryptography and Security · Computer Science 2022-08-15 Goran Piskachev , Stefan Dziwok , Thorsten Koch , Sven Merschjohan , Eric Bodden
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