Results 81 to 90 of about 319,608 (98)

Engineering Trustworthy Software: A Mission for LLMs [PDF]

arXiv
LLMs are transforming software engineering by accelerating development, reducing complexity, and cutting costs. When fully integrated into the software lifecycle they will drive design, development and deployment while facilitating early bug detection, continuous improvement, and rapid resolution of critical issues.
arxiv  

An Empirical Evaluation of Pre-trained Large Language Models for Repairing Declarative Formal Specifications

Automatic Program Repair (APR) has garnered significant attention as a practical research domain focused on automatically fixing bugs in programs. While existing APR techniques primarily target imperative programming languages like C and Java, there is a
Alhanahnah, Mohannad, Bagheri, Hamid, Hasan, Md Rashedul   +2 more
core  

Requirements are All You Need: The Final Frontier for End-User Software Engineering

What if end users could own the software development lifecycle from conception to deployment using only requirements expressed in language, images, video or audio? We explore this idea, building on the capabilities that generative Artificial Intelligence
Cabrera, Christian, Gordon, Andrew D., Lawrence, Neil D., Mennen, Lars, Robinson, Diana   +4 more
core  

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond

To evaluate the code generation capabilities of Large Language Models (LLMs) in complex real-world software development scenarios, many evaluation approaches have been developed.
Ma, Yuchi, Shi, Ensheng, Wang, Yanlin, Zhang, Hongyu, Zhang, Ruikai, Zheng, Dewu, Zheng, Zibin   +6 more
core  

Smart contracts vulnerabilities: a call for blockchain software engineering?

2018 International Workshop on Blockchain Oriented Software Engineering (IWBOSE), 2018
Giuseppe Destefanis, M. Marchesi, Marco Ortu, R. Tonelli, A. Bracciali, R. Hierons   +5 more
semanticscholar   +1 more source

Software Engineering for Computational Science: Past, Present, Future

Computing in science & engineering (Print), 2018
A. Johanson, W. Hasselbring
semanticscholar   +1 more source

An Empirical Study of Practitioners' Perspectives on Green Software Engineering

International Conference on Software Engineering, 2016
Irene Manotas, C. Bird, Rui Zhang, D. Shepherd, Ciera Jaspan, Caitlin Sadowski, L. Pollock, J. Clause   +7 more
semanticscholar   +1 more source

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Sampling in software engineering research: a critical review and guidelines

Empirical Software Engineering, 2020
Representative sampling appears rare in empirical software engineering research. Not all studies need representative samples, but a general lack of representative sampling undermines a scientific field. This article therefore reports a critical review of
Sebastian Baltes, P. Ralph
semanticscholar   +1 more source

Software Engineering Programs Are Not Computer Science Programs

IEEE Software, 1999
Software Engineering programs have become a source of contention in many universities. Computer Science departments, many of which have used that phrase to describe individual courses for decades, claim SE as part of their discipline.
D. Parnas
semanticscholar   +1 more source

Human Values in Software Engineering: Contrasting Case Studies of Practice

IEEE Transactions on Software Engineering, 2022
The growing diffusion of software in society and its influence on people demands from its creators that their work carefully considers human values such as transparency, social responsibility, and equality. But how do software practitioners address human
Waqar Hussain, Harsha Perera, J. Whittle, Arif Nurwidyantoro, Rashina Hoda, R. Shams, G. Oliver   +6 more
semanticscholar   +1 more source