Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

Abstract Context: Test Driven Development (TDD) is an agile practice that has gained
popularity when it was defined as a fundamental part in eXtreme Programming (XP) …

Generative models have become adept at producing artifacts such as images, videos, and
prose at human-like levels of proficiency. New generative techniques, such as unsupervised …

Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …

Software engineering concerns methods and techniques to develop large software systems.
The engineering metaphor is used to emphasize a systematic approach to develop systems …

In program debugging, finding a failing run is only the first step; what about correcting the
fault? Can we automate the second task as well as the first? The AutoFix-E tool …

The researcher focuses on the analysis of most common diverse methodologies of software
development to choose the best one on the basis of different factors such as project type …

Scrum remains the most popular agile software development method implementation for a
variety of reasons; one important motive is to improve software quality. Yet many …

Test-driven development creates software in very short iterations with minimal upfront
design. This strategy requires writing automated tests prior to developing functional code in …

Test-driven development (TDD) is based on formalizing a piece of functionality as a test,
implementing the functionality such that the test passes, and iterating the process. This …