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Machine learning is nowadays a standard technique for data analysis within software applications. Software engineers need quality assurance techniques that are suitable for these new kinds of systems. Within this article, we discuss the…

Software Engineering · Computer Science 2022-01-24 Steffen Herbold , Tobias Haar

Just like other software, spreadsheets can contain significant faults. Static analysis is an accepted and well-established technique in software engineering known for its capability to discover faults. In recent years, a growing number of…

Software Engineering · Computer Science 2014-01-30 Daniel Kulesz , Jan-Peter Ostberg

Program slicing is a critical technique in software engineering, enabling developers to isolate relevant portions of code for tasks such as bug detection, code comprehension, and debugging. In this study, we investigate the application of…

Software Engineering · Computer Science 2024-09-20 Kimya Khakzad Shahandashti , Mohammad Mahdi Mohajer , Alvine Boaye Belle , Song Wang , Hadi Hemmati

The pivotal role of testing in high-quality software production has driven a significant effort in evaluating and assessing testing practices. We explore the state of testing in a large industrial project over an extended period. We study…

Software Engineering · Computer Science 2019-08-06 Mohammad Ghafari , Markus Eggiman , Oscar Nierstrasz

Systematic application of software metric techniques can lead to significant improvements of the quality of a final software product. However, there is still the evident lack of wider utilization of software metrics techniques and tools due…

Software Engineering · Computer Science 2013-11-18 Gordana Rakic , Zoran Budimac

In embedded control systems, the potential risks of software defects have been increasing because of software complexity which leads to, for example, timing related problems. These defects are rarely found by tests or simulations. To detect…

Logic in Computer Science · Computer Science 2013-01-03 Masahiro Matsubara , Kohei Sakurai , Fumio Narisawa , Masushi Enshoiwa , Yoshio Yamane , Hisamitsu Yamanaka

Embedded systems are ubiquitous and play critical roles in management systems for industry and transport. Software failures in these domains may lead to loss of production or even loss of life, so the software in these systems needs to be…

Software Engineering · Computer Science 2021-11-17 Per Erik Strandberg

The increasing size and complexity of machine learning (ML) models have driven the growing need for custom hardware accelerators capable of efficiently supporting ML workloads. However, the design of such accelerators remains a…

Machine Learning · Computer Science 2025-04-15 Raymond Baartmans , Andrew Ensinger , Victor Agostinelli , Lizhong Chen

Machine learning (ML) techniques increase the effectiveness of software engineering (SE) lifecycle activities. We systematically collected, quality-assessed, summarized, and categorized 83 reviews in ML for SE published between 2009-2022,…

Software Engineering · Computer Science 2023-12-05 Zoe Kotti , Rafaila Galanopoulou , Diomidis Spinellis

Recent advances in code generation have illuminated the potential of employing large language models (LLMs) for general-purpose programming languages such as Python and C++, opening new opportunities for automating software development and…

Machine Learning · Computer Science 2025-03-06 Jiahao Gai , Hao Mark Chen , Zhican Wang , Hongyu Zhou , Wanru Zhao , Nicholas Lane , Hongxiang Fan

We demonstrate, for the first time, the applicability of 3D printing technique to the manufacture of scintillation detectors. We report of a formulation, usable in stereolithographic printing, that exhibits scintillation efficiency on the…

Materials Science · Physics 2014-06-20 Y. Mishnayot , M. Layani , I. Cooperstein , S. Magdassi , G. Ron

There has been considerable growth and interest in industrial applications of machine learning (ML) in recent years. ML engineers, as a consequence, are in high demand across the industry, yet improving the efficiency of ML engineers…

Machine Learning · Computer Science 2020-05-05 Anh Truong , Austin Walters , Jeremy Goodsitt , Keegan Hines , C. Bayan Bruss , Reza Farivar

With the advent of 3D printers in different price ranges and sizes, they are no longer just for professionals. However, it is still challenging to use a 3D printer perfectly. Especially, in the case of the Fused Deposition Method, it is…

Signal Processing · Electrical Eng. & Systems 2022-03-24 Harim Jeong , Joo Hun Yoo

Software has eaten the world with many of the necessities and quality of life services people use requiring software. Therefore, tools that improve the software development experience can have a significant impact on the world such as…

Software Engineering · Computer Science 2023-10-18 Nathan Cooper

In the past decade, Artificial Intelligence (AI) has become a part of our daily lives due to major advances in Machine Learning (ML) techniques. In spite of an explosive growth in the raw AI technology and in consumer facing applications on…

Software Engineering · Computer Science 2020-06-18 P. Santhanam

Direct manipulation has been established as the main interaction paradigm for Computer-Aided Design (CAD) for decades. It provides fast, incremental, and reversible actions that allow for an iterative process on a visual representation of…

Human-Computer Interaction · Computer Science 2024-08-06 J. Felipe Gonzalez , Thomas Pietrzak , Audrey Girouard , Géry Casiez

Software measurement is an essential management tool to develop robust and maintainable software systems. Software metrics can be used to control the inherent complexities in software design. To guarantee that the components of the software…

Software Engineering · Computer Science 2022-01-26 Mamdouh Alenezi

At advanced process nodes, lithography weakpoints can exist in physical layouts of integrated circuit designs even if the layouts pass design rule checking (DRC). Existence of lithography weakpoints in a physical layout can cause…

Other Computer Science · Computer Science 2018-10-04 I-Lun Tseng , Yongfu Li , Valerio Perez , Vikas Tripathi , Zhao Chuan Lee , Jonathan Yoong Seang Ong

Since the emergence of GPT-3, Large Language Models (LLMs) have caught the eyes of researchers, practitioners, and educators in the field of software engineering. However, there has been relatively little investigation regarding the…

Software Engineering · Computer Science 2024-06-11 Beian Wang , Chong Wang , Peng Liang , Bing Li , Cheng Zeng

We selected 29 medical imaging projects from 48 candidates, assessed 10 software qualities by answering 108 questions for each software project, and interviewed 8 of the 29 development teams. Based on the quantitative data, we ranked the MI…

Software Engineering · Computer Science 2024-05-21 W. Spencer Smith , Ao Dong , Jacques Carette , Michael D. Noseworthy