EasyLocal++ is a white-box C++ framework for designing local search algorithms. Over the years, it has been successfully used across various domains, such as timetabling, rostering, scheduling, and logistics, and has produced state-of-the-art results in ...

Artificial benchmark datasets are common in both numerical and discrete optimisation domains. Existing benchmarks cover a broad range of classes of optimisation, but as a general rule have limited value due to their poor resemblance to real-world ...

This paper describes the historical background that led to the development of the innovative Software through Pictures multi-user development environment, and the principles for its integration with other software products to create a software ...

Automated program repair, also known as APR, is an approach for automatically repairing software faults. There is a large amount of research on automated program repair, but very little offers in-depth insights into how practitioners think about and ...

Sobotify is a software framework, which aims at simplifying the process of using robots in the field of social robotics. This paper delineates the design and usage of the framework. With Sobotify, even non-technical people should be enabled to use robots ...

Machine learning (ML) systems are increasingly in use in society. For young learners to be informed citizens and have full career potential it is important for them to understand these concepts. To support this learning, we created "ChemAIstry,'' an ...

The JuLeS framework (short for Julia Local Search)¹ is a versatile and highly customizable platform for quickly creating Local Search solvers. Developed using the Julia programming language, JuLeS enables efficient implementation of solvers, ...

We present the design and the implementation of a kernel principal component regression software that handles training datasets with a million or more observations. Kernel regressions are nonlinear and interpretable models that have wide downstream ...

The day to day of a software engineer involves a variety of tasks. While many of these tasks are collaborative and completed as such, it is not always possible or feasible to engage with other engineers for task completion. Software tools, such as code ...

Software language models have achieved promising results predicting code completion usages, and several industry studies have described successful IDE integration. Recently, accuracy in autocompletion prediction improved 12.8%[2] from training on a real-...

Our physical environments integrate more and more sensing, processing, and communications technology toward the realization of the vision of Ambient Intelligence (AmI). At the same time, virtual worlds are increasingly more linked to physical spaces by ...

Memory bloat frequently occurs in web applications. It affects system performance and may even cause out‐of‐memory crashes. For web applications, testers often do performance testing that repeatedly runs test scripts to reveal potential memory ...

Recommender systems are complex. They integrate the individual needs of users with the characteristics of particular domains of application which may span items from large and potentially heterogeneous collections. Extensive experimentation is required ...

eReuse is an initiative and action-research project that since 2015 has iterated over research and activism to understand, develop, apply to communities, evaluate and scale-up the circular economy of digital devices. The work, in partnership with ...

Web science researchers identify social structures that form as content is shared on social media. These structures channel the flow of content and the resulting experiences of ideas, feelings and actions. The human drive to seek shared experiences ...

Web Science researchers use a rich set of data sources, software tools, and computational infrastructure in many aspects of their work, often creating new methods and tools. The Research Infrastructure for Web Science (RI4WebSci) workshop is a forum to ...

Several operations, ranging from regular code updates to compiling, building, testing, and distribution to customers, are consolidated in continuous integration and delivery. Professionals seek additional information to complete the mission at ...

Code completion is a popular software development tool integrated into all major IDEs. Many neural language models have achieved promising results in completion suggestion prediction on synthetic benchmarks. However, a recent study When Code Completion ...

With machine learning models especially Deep Neural Network (DNN) models becoming an integral part of the new intelligent software, new tools to support their engineering process are in high demand. Existing DNN debugging tools are either post-training ...

Modern software engineering often involves using many existing APIs, both open source and – in industrial coding environments– proprietary. Programmers reference documentation and code search tools to remind themselves of proper common usage patterns of ...