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Related papers: Synthesizing Program-Specific Static Analyses

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Programming by Example (PBE) is the task of inducing computer programs from input-output examples. It can be seen as a type of machine learning where the hypothesis space is the set of legal programs in some programming language. Recent…

Programming Languages · Computer Science 2017-03-03 John K. Feser , Marc Brockschmidt , Alexander L. Gaunt , Daniel Tarlow

Static Code Analyzers (SCAs) have played a critical role in software quality assurance. However, SCAs with various static analysis techniques suffer from different levels of false positives and false negatives, thereby yielding the varying…

Software Engineering · Computer Science 2024-12-25 Xiuting Ge , Chunrong Fang , Xuanye Li , Ye Shang , Mengyao Zhang , Ya Pan

Precisely and automatically detection of faults in programs, is a software engineering dream. Every effort in this regard takes us one step closer to realizing it. Many efforts have been taken from the people of these areas on testing,…

Software Engineering · Computer Science 2013-08-13 Safeeullah Soomro , Zahid Hussain , Ayaz Keerio

interpretation is a general methodology for building static analyses of programs. It was introduced by P. and R. Cousot in \cite{cc}. We present, in this paper, an application of a generic abstract interpretation to domain of…

Data Structures and Algorithms · Computer Science 2009-02-12 Kaninda Musumbu

Providing examples is one of the most common way for end-users to interact with program synthesizers. However, program synthesis systems assume that examples consistent with the program are chosen at random, and do not exploit the fact that…

Artificial Intelligence · Computer Science 2022-04-07 Saujas Vaduguru , Kevin Ellis , Yewen Pu

Inspired by a concrete industry problem we consider the input synthesis problem for hybrid systems: given a hybrid system that is subject to input from outside (also called disturbance or noise), find an input sequence that steers the…

Systems and Control · Computer Science 2016-02-22 Takumi Akazaki , Ichiro Hasuo , Kohei Suenaga

Synthesizing a program that realizes a logical specification is a classical problem in computer science. We examine a particular type of program synthesis, where the objective is to synthesize a strategy that reacts to a potentially…

Artificial Intelligence · Computer Science 2020-01-01 Alberto Camacho , Sheila A. McIlraith

In the task of automatic program synthesis, one obtains pairs of matching inputs and outputs and generates a computer program, in a particular domain-specific language (DSL), which given each sample input returns the matching output. A key…

Machine Learning · Computer Science 2023-03-14 Aran Carmon , Lior Wolf

With an increasing number of value-flow properties to check, existing static program analysis still tends to have scalability issues when high precision is required. We observe that the key design flaw behind the scalability problem is that…

Software Engineering · Computer Science 2019-12-17 Qingkai Shi , Rongxin Wu , Gang Fan , Charles Zhang

Regular expressions are a concise yet expressive language for expressing patterns. For instance, in networked software, they are used for input validation and intrusion detection. Yet some widely deployed regular expression matchers based…

Programming Languages · Computer Science 2013-01-08 James Kirrage , Asiri Rathnayake , Hayo Thielecke

The continuous increase in malware samples, both in sophistication and number, presents many challenges for organizations and analysts, who must cope with thousands of new heterogeneous samples daily. This requires robust methods to quickly…

Cryptography and Security · Computer Science 2025-03-26 Theodoros Apostolopoulos , Vasilios Koutsokostas , Nikolaos Totosis , Constantinos Patsakis , Georgios Smaragdakis

We introduce Causal Program Dependence Analysis (CPDA), a dynamic dependence analysis that applies causal inference to model the strength of program dependence relations in a continuous space. CPDA observes the association between program…

Software Engineering · Computer Science 2021-04-20 Seongmin Lee , Dave Binkley , Robert Feldt , Nicolas Gold , Shin Yoo

In this article, we discuss a flow--sensitive analysis of equality relationships for imperative programs. We describe its semantic domains, general purpose operations over abstract computational states (term evaluation and identification,…

Programming Languages · Computer Science 2007-05-23 P. Emelyanov

When programming network functions, changes within a packet tend to have consequences---side effects which must be accounted for by network programmers or administrators via arbitrary logic and an innate understanding of dependencies.…

Networking and Internet Architecture · Computer Science 2019-07-02 Zeeshan Lakhani , Heather Miller

Stable Logic Programming (SLP) is an emergent, alternative style of logic programming: each solution to a problem is represented by a stable model of a deductive database/function-free logic program encoding the problem itself. Several…

Artificial Intelligence · Computer Science 2014-02-25 Gianpaolo Brignoli , Stefania Costantini , Ottavio D'Antona , Alessandro Provetti

Event-driven programming is widely used for implementing user interfaces, web applications, and non-blocking I/O. An event-driven program is organized as a collection of event handlers whose execution is triggered by events. Traditional…

Programming Languages · Computer Science 2019-10-30 Ming-Ho Yee , Ayaz Badouraly , Ondřej Lhoták , Frank Tip , Jan Vitek

Due to increasingly complex software design and rapid iterative development, code defects and security vulnerabilities are prevalent in modern software. In response, programmers rely on static analysis tools to regularly scan their…

Software Engineering · Computer Science 2022-03-21 Anant Kharkar , Roshanak Zilouchian Moghaddam , Matthew Jin , Xiaoyu Liu , Xin Shi , Colin Clement , Neel Sundaresan

In Programming by Example, a system attempts to infer a program from input and output examples, generally by searching for a composition of certain base functions. Performing a naive brute force search is infeasible for even mildly involved…

Artificial Intelligence · Computer Science 2012-09-19 Aditya Krishna Menon , Omer Tamuz , Sumit Gulwani , Butler Lampson , Adam Tauman Kalai

Functional languages with strong static type systems have beneficial properties to help ensure program correctness and reliability. Surprisingly, their practical significance in applications is low relative to other languages lacking in…

Programming Languages · Computer Science 2016-12-05 Johannes Emerich

Programmers often add meaningful information about program semantics when naming program entities such as variables, functions, and macros. However, static analysis tools typically discount this information when they look for bugs in a…

Programming Languages · Computer Science 2020-09-22 Roger Scott , Joseph Ranieri , Lucja Kot , Vineeth Kashyap
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