Other

Microsoft Technology Licensing, LLC

Thomas Zimmermann

Gina Danielle Venolia

Christian Alma Bird

Yit Phang Khoo

Andrew Begel

Christian Bird

Systems and methods for predicting a software build error are described herein. In one example, a method includes detecting a plurality of changes in software. The method also includes identifying a plurality of change lists, wherein a change list is identified for each of the plurality of changes in the software. Additionally, the method includes identifying a characteristic for each change list in the plurality of change lists. Furthermore, the method includes calculating a plurality of probabilities based at least in part on the characteristic of each of the plurality of change lists, wherein each of the probabilities indicates the likelihood of one of the plurality of change lists creating the software build error. The method also includes reporting the plurality of probabilities of the software build error.

Predicting software build errors

Software development items can be represented in a graph data structure. Relationships between the represented items can be detected and reflected in the graph data structure. Queries can be run against the data structure to determine which software development items are related to each other. Implicit query can be implemented in a software development context. A graph browser can present panes showing related items. In some embodiments, a set of regular expressions can be used to identify paths in a graph. Probability scores for the identified paths can be computed. Path data for the identified paths, including the probability scores, can be stored in a searchable location accessible by one or more applications. A query of the path data can be processed to return query results associated with at least one of the identified paths.

Discovering and exploiting relationships in software repositories

Growing community of inventors

Bellevue, WA, United States of America

Thomas Zimmermann