Artificial Intelligence (AI) is useful. AI can deliver more functionality for reduced cost. AI
should be used more widely but won't be unless developers can trust adaptive …

Abstract Black-box Artificial Intelligence (AI) methods, eg deep neural networks, have been
widely utilized to build predictive models that can extract complex relationships in a dataset …

Most modern businesses can access mountains of data electronically; the trick is effectively
using that data. In practice, this means summarizing large data sets to find the data that …

Software systems are deployed in environments that keep changing over time. They should
therefore adapt to changing conditions to meet their requirements. The satisfaction rate of …

Recent work with NASA's Jet Propulsion Laboratory has allowed for external access to five
of JPL's real-world requirements models, anonymized to conceal proprietary information, but …

Software engineering (SE) truisms capture broadly-applicable principles of software
construction. The trouble with truisms is that such general principles may not apply in …

Numerous discrepancies exist between expert opinion and empirical data reported in
Morisio et al.'s recent TSE article. The differences related to what factors encouraged …

Data mining and machine learning focus on inducing previously unknown, potentially useful,
and ultimately understandable information from data. In this master's thesis, we propose a …

At the core of soft computing is the intuition that from imprecise knowledge, we can still make
reasonable inferences. This paper offers experimental and mathematical evidence for this …

Chung et al. have proposed a graphical model that captures the interdependencies between
design alternatives in terms of synergy and trade-offs. This model can assist in identifying …