Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using
learned models, ie, Software-2.0, has gained substantial adoption. However, we do not …

Machine Learning (ML), including Deep Learning (DL), systems, ie, those with ML
capabilities, are pervasive in today's data-driven society. Such systems are complex; they …

Over the years, researchers capitalized on the repetitiveness of software changes to
automate many software evolution tasks. Despite the extraordinary rise in popularity of …

Streaming APIs are becoming more pervasive in mainstream Object-Oriented programming
languages and platforms. For example, the Stream API introduced in Java 8 allows for …

Developers frequently change the type of a program element and update all its references to
increase performance, security, or maintainability. Manually performing type changes is …

Since executing a smart contract on the Ethereum blockchain costs money (measured in
gas), smart contract developers spend significant effort in reducing gas usage. In this paper …

Developers frequently change the type of a program element and update all its references
for performance, security, concurrency, library migration, or better maintainability. Despite …

Streaming APIs allow for big data processing of native data structures by providing
MapReduce-like operations over these structures. However, unlike traditional big data …

Software developers frequently confront a recurring challenge of making code
transformations—similar but not entirely identical code changes in many places—in their …

Machine learning (ML) libraries are gaining vast popularity, especially in the Python
programming language. Using the latest version of such libraries is recommended to ensure …