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Large language models (LLMs) are increasingly used for automated code refactoring tasks. Although these models can quickly refactor code, the quality may exhibit inconsistencies and unpredictable behavior. In this article, we systematically…

Software Engineering · Computer Science 2026-02-26 Norman Peitek , Julia Hess , Sven Apel

Developing automated and smart software vulnerability detection models has been receiving great attention from both research and development communities. One of the biggest challenges in this area is the lack of code samples for all…

Software Engineering · Computer Science 2023-03-14 Khadija Hanifi , Ramin F Fouladi , Basak Gencer Unsalver , Goksu Karadag

Automatically creating a computer program using input-output examples can be a challenging task, especially when trying to synthesize computer programs that require loops or recursion. Even though the use of recursion can make the…

Programming Languages · Computer Science 2024-06-04 Matheus Campos Fernandes , Fabrício Olivetti de França , Emilio Francesquini

Code cloning plays a very important role in open-source software engineering. The presence of clones within a project may indicate a need for refactoring, and clones between projects are even more interesting, since code migration takes…

Software Engineering · Computer Science 2021-08-16 Yaroslav Golubev , Timofey Bryksin

Reuse has been proposed as a microarchitecture-level mechanism to reduce the amount of executed instructions, collapsing dependencies and freeing resources for other instructions. Previous works have used reuse domains such as memory…

Hardware Architecture · Computer Science 2017-11-20 Andrey M. Coppieters , Sheila de Oliveira , Felipe M. G. França , Maurício L. Pilla , Amarildo T. da Costa

This paper presents our approach to use refactoring techniques together with code generation. Refactoring is particularly useful if not only the generated classes but also the generator itself can be adapted in an automatic fashion. We have…

Software Engineering · Computer Science 2014-09-24 Holger Krahn , Bernhard Rumpe

As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post hoc techniques which provide recourse to affected individuals. These techniques generate…

Machine Learning · Computer Science 2021-07-14 Sohini Upadhyay , Shalmali Joshi , Himabindu Lakkaraju

Neural networks have in recent years shown promise for helping software engineers write programs and even formally verify them. While semantic information plays a crucial part in these processes, it remains unclear to what degree popular…

Machine Learning · Computer Science 2023-06-27 Shizhuo Dylan Zhang , Curt Tigges , Stella Biderman , Maxim Raginsky , Talia Ringer

Asynchronous programming is widely adopted for building responsive and efficient software, and modern languages such as C# provide async/await primitives to simplify the use of asynchrony. In this paper, we propose an approach for…

Programming Languages · Computer Science 2022-09-15 Sidi Mohamed Beillahi , Ahmed Bouajjani , Constantin Enea , Shuvendu Lahiri

We give a general method for rounding linear programs that combines the commonly used iterated rounding and randomized rounding techniques. In particular, we show that whenever iterated rounding can be applied to a problem with some slack,…

Data Structures and Algorithms · Computer Science 2019-07-19 Nikhil Bansal

Modular programming is a cornerstone in software development, as it allows to build complex systems from the assembly of simpler components, and support reusability and substitution principles. In a distributed setting, component assembly…

Programming Languages · Computer Science 2018-01-25 Marco Carbone , Fabrizio Montesi , Hugo Torres Vieira

The mathematical modeling of generics in Java and other similar nominally-typed object-oriented programming languages is a challenge. In this short paper we present the outline of a novel order-theoretic approach to modeling generics, in…

Programming Languages · Computer Science 2019-06-27 Moez A. AbdelGawad

A reliable technique for deductive program verification should be proven sound with respect to the semantics of the programming language. For each different language, the construction of a separate soundness proof is often a laborious…

Programming Languages · Computer Science 2021-08-05 Ximeng Li , Qianying Zhang , Guohui Wang , Zhiping Shi , Yong Guan

Machine learning workflow development is anecdotally regarded to be an iterative process of trial-and-error with humans-in-the-loop. However, we are not aware of quantitative evidence corroborating this popular belief. A quantitative…

Machine Learning · Computer Science 2018-05-21 Doris Xin , Litian Ma , Shuchen Song , Aditya Parameswaran

Verifiers that can prove programs correct against their full functional specification require, for programs with loops, additional annotations in the form of loop invariants---propeties that hold for every iteration of a loop. We show that…

Software Engineering · Computer Science 2016-02-09 Juan P. Galeotti , Carlo A. Furia , Eva May , Gordon Fraser , Andreas Zeller

Backtracking (i.e., reverse execution) helps the user of a debugger to naturally think backwards along the execution path of a program, and thinking backwards makes it easy to locate the origin of a bug. So far backtracking has been…

Programming Languages · Computer Science 2013-09-23 Jooyong Yi

Most university curricula consider software processes to be on the fringes of software engineering (SE). Students are told there exists a plethora of software processes ranging from RUP over V-shaped processes to agile methods. Furthermore,…

Software Engineering · Computer Science 2013-12-19 Marco Kuhrmann , Daniel Méndez Fernández , Jürgen Münch

This paper presents a cognitive typology of reuse processes, and a cognitive typology of documenting processes. Empirical studies on design with reuse and on software documenting provide evidence for a generalized cognitive model. First,…

Human-Computer Interaction · Computer Science 2016-08-16 Françoise Détienne , Jean-François Rouet , Jean-Marie Burkhardt , Catherine Deleuze-Dordron

Initially developed for natural language processing (NLP), Transformers are now widely used for source code processing, due to the format similarity between source code and text. In contrast to natural language, source code is strictly…

Machine Learning · Computer Science 2021-06-25 Nadezhda Chirkova , Sergey Troshin

We revisit known transformations from Jinja bytecode to rewrite systems from the viewpoint of runtime complexity. Suitably generalising the constructions proposed in the literature, we define an alternative representation of Jinja bytecode…

Programming Languages · Computer Science 2014-05-07 Georg Moser , Michael Schaper
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