Coping with evolution in automated production systems implies a cross-disciplinary
challenge along the system's life-cycle for variant-rich systems of high complexity. The …

Context Testing plays an important role in the quality assurance process for software product
line engineering. There are many opportunities for economies of scope and scale in the …

This paper presents a novel yet intuitive approach to unsupervised feature learning. Inspired
by the human visual system, we explore whether low-level motion-based grouping cues can …

Shared expectations and mutual understanding are critical facets of teamwork. Achieving
these in human-robot collaborative contexts can be especially challenging, as humans and …

Natural languages like English are rich, complex, and powerful. The highly creative and
graceful use of languages like English and Tamil, by masters like Shakespeare and …

In most safety-critical domains the need for traceability is prescribed by certifying bodies.
Trace links are generally created among requirements, design, source code, test cases and …

Over the years of software development, a vast amount of source code has been
accumulated. Many code search tools were proposed to help programmers reuse previously …

Software traceability establishes and leverages associations between diverse development
artifacts. Researchers have proposed the use of deep learning trace models to link natural …

(Good) Software documentation provides developers and users with a description of what a
software system does, how it operates, and how it should be used. For example, technical …

Software traceability is a sought-after, yet often elusive quality in software-intensive systems.
Required in safety-critical systems by many certifying bodies, such as the USA Federal …