What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

Augmented Reality (AR) and Virtual Reality (VR) devices are becoming easier to access
and use, but the barrier to entry for creating AR/VR applications remains high. Although the …

Advances in natural language processing have resulted in large language models (LLMs)
that can generate code and code explanations. In this paper, we report on our experiences …

Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can
generate code to solve a variety of problems expressed in natural language. This …

Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

During software development and maintenance, developers spend a considerable amount
of time on program comprehension activities. Previous studies show that program …

A great part of software development involves conceptualizing or communicating the
underlying procedures and logic that needs to be expressed in programs. One major …

Context-aware intelligent systems employ implicit inputs, and make decisions based on
complex rules and machine learning models that are rarely clear to users. Such lack of …

Most programs today are written not by professional software developers, but by people with
expertise in other domains working towards goals for which they need computational …

Why Programs Fail: A Guide to Systematic Debugging is proof that debugging has
graduated from a black art to a systematic discipline. It demystifies one of the toughest …