NJR 2019
Mon 11 - Fri 15 November 2019 San Diego, California, United States
co-located with ASE 2019
All Editions
Mon 11 - Fri 15 November 2019 San Diego, California, United States

NJR 2019 with ASE 2019

Software researchers increasingly take advantage of large software repositories when they design new tools. How do we make such repositories maximally useful for research? In particular, how do we make them more searchable, make interaction scriptable, and ensure that we can run both static and dynamic analyses? Additionally, how do we make the results from tools reproducible, how do we label programs with ground ...

Mon 21 Oct 2019 Athens, Greece

NJR 2019 with SPLASH 2019

Software researchers increasingly take advantage of large software repositories when they design new tools. How do we make such repositories maximally useful for research? In particular, how do we make them more searchable, make interaction scriptable, and ensure that we can run both static and dynamic analyses? Additionally, how do we make the results from tools reproducible, how do we label programs with ground ...

Sun 4 - Fri 9 November 2018 Boston, Massachusetts, United States

NJR 2018 with SPLASH 2018

We are working on creating a Normalized Java Resource (NJR) that will speed up innovation in the area of software tools. Those tools include security enhancers, bug finders, and code synthesizers, all of which can benefit greatly from access to Big Code. Our vision is a diverse collection of 100,000 normalized Java projects that is executable, scriptable, and searchable. The Java projects stem from the Sourcerer ...

Sun 22 - Fri 27 October 2017 Vancouver, Canada

NJR 2017 with SPLASH 2017

Our vision is a collection of 10,000 Java projects, each of which builds and runs, and for which popular tools succeed and have cached outputs. This National Java Resource will lower the barrier to implementation of new tools, speed up research, and ultimately help advance research frontiers. In particular, the National Java Resource will enable tools that take advantage of Big Code in such areas as code synthesi ...