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If you want to tell people the truth, make them laugh, otherwise they'll kill you. (source unclear) Machine learning and deep learning are the technologies of the day for developing intelligent automatic systems. However, a key hurdle for…

Machine Learning · Computer Science 2019-01-08 Fayyaz Minhas , Amina Asif , Asa Ben-Hur

Background: Research software is software developed by and/or used by researchers, across a wide variety of domains, to perform their research. Because of the complexity of research software, developers cannot conduct exhaustive testing. As…

Software Engineering · Computer Science 2021-10-29 Nasir U. Eisty , Jeffrey C. Carver

In 2015, the CCC co-sponsored an industry round table that produced the document "The Future of Computing Research: Industry-Academic Collaborations". Since then, several important trends in computing research have emerged, and this…

Computers and Society · Computer Science 2019-10-10 Greg Morrisett , Shwetak Patel , Jennifer Rexford , Benjamin Zorn

Effective software testing is critical for producing reliable and secure software, yet many computer science students struggle to master the foundational concepts required to construct comprehensive test suites. While automated feedback…

Software Engineering · Computer Science 2025-10-02 Shiza Andleeb , Teo Mendoza , Lucas Cordova , Gursimran Walia , Jeffrey C. Carver

When discussing future concerns within socio-technical systems in work contexts, we often find descriptions of missed technology development and integration. The experience of technology that fails whilst being integrated is often rooted in…

Human-Computer Interaction · Computer Science 2021-07-09 Sarah Janboecke , Susanne Zajitschek

Computation nowadays is becoming inherently concurrent, either because of characteristics of the hardware (with multicore processors becoming omnipresent) or due to the ubiquitous presence of distributed systems (incarnated in the…

Software Engineering · Computer Science 2011-08-01 Mohammad Reza Mousavi , Antonio Ravara

In this paper, we identify the state of data as being an important reason for failure in applied Natural Language Processing (NLP) projects. We argue that there is a gap between academic research in NLP and its application to problems…

Computation and Language · Computer Science 2021-10-12 Fredrik Olsson , Magnus Sahlgren

Computing is an indispensable component of nearly all technologies and is ubiquitous for vast segments of society. It is also essential to discoveries and innovations in most disciplines. However, while past grand challenges in science have…

Computers and Society · Computer Science 2026-01-05 William Regli , Rajmohan Rajaraman , Daniel Lopresti , David Jensen , Mary Lou Maher , Manish Parashar , Mona Singh , Holly Yanco

One source of software project challenges and failures is the systematic errors introduced by human cognitive biases. Although extensively explored in cognitive psychology, investigations concerning cognitive biases have only recently…

Software Engineering · Computer Science 2022-03-22 Rahul Mohanani , Iflaah Salman , Burak Turhan , Pilar Rodriguez , Paul Ralph

Concurrency, the art of doing many things at the same time is slowly becoming a science. It is very difficult to master, yet it arises all over modern computing systems, both when the communication medium is shared memory and when it is by…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-17 Sergio Rajsbaum , Michel Raynal

Although 'Halcyon' means serene environment which pervasive computing aims at, we have tried to present a different interpretation of this word. Through our approach, we look at it in context of achieving future 'calm technology'. The paper…

Human-Computer Interaction · Computer Science 2010-03-15 Rolly Seth , Rishi Kapoor , Hameed Al-Qaheri , Sugata Sanyal

Software is foundationally important to scientific and social progress, however, traditional acknowledgment of the use of others' work has not adapted in step with the rapid development and use of software in research. This report outlines…

Digital Libraries · Computer Science 2023-02-16 Daina Bouquin , Ana Trisovic , Oliver Bertuch , Elena Colón-Marrero

Concerns about representation in computing within the U.S. have driven numerous activities to broaden participation. Assessment of the impact of these efforts and, indeed, a clear assessment of the actual "problem" being addressed are…

Computers and Society · Computer Science 2024-03-25 Valerie Barr , Carla E. Brodley , Manuel A. Pérez-Quiñones

Pervasive social computing is a promising approach that promises to empower both the individual and the whole and thus candidates itself as a foundation to the "smarter" social organizations that our new turbulent and resource-scarce worlds…

Computers and Society · Computer Science 2017-03-20 Vincenzo De Florio

As IoT systems are given more responsibility and autonomy, they offer greater benefits, but also carry greater risks. We believe this trend invigorates an old challenge of software engineering: how to develop high-risk software-intensive…

Software Engineering · Computer Science 2022-09-20 Dharun Anandayuvaraj , James C. Davis

Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by…

Much research on Machine Learning testing relies on empirical studies that evaluate and show their potential. However, in this context empirical results are sensitive to a number of parameters that can adversely impact the results of the…

Software Engineering · Computer Science 2023-09-12 Salah Ghamizi , Maxime Cordy , Yuejun Guo , Mike Papadakis , And Yves Le Traon

Randomized experiments have become a cornerstone of evidence-based decision-making in contexts ranging from online platforms to public health. However, in experimental settings with network interference, a unit's treatment can influence…

Machine Learning · Computer Science 2025-10-22 Sadegh Shirani , Yuwei Luo , William Overman , Ruoxuan Xiong , Mohsen Bayati

Cognitive engineering is a multi-disciplinary field and hence it is difficult to find a review article consolidating the leading developments in the field. The in-credible pace at which technology is advancing pushes the boundaries of what…

Artificial Intelligence · Computer Science 2016-11-01 Jarryd Son , Amit Kumar Mishra

This contribution examines the current controversy over research productivity. There are two sides in this controversy. Using extensive data from several industries and areas of research, one side argues that research productivity is…

General Economics · Economics 2022-03-03 Gennady Shkliarevsky