139: Static code analysis with Manu Sridharan episode artwork

EPISODE · Oct 24, 2018 · 39 MIN

139: Static code analysis with Manu Sridharan

from Fragmented - AI Developer Podcast · host Spec

In this episode, Donn and Kaushik talk to Uber's Manu Sridharan on static code analysis. Manu's a badass who did his PhD on the subject! He explains how static code analysis works, how Uber leverages these tools in their app development pipeline and how we can use such tools to build high quality Android apps. Note from Manu: I found the story I was thinking about: Reed Hastings founded the company that built the Purify tool for debugging memory errors in C programs before founding Netflix. But, that's actually not a static analysis tool; it does dynamic analysis by adding extra metadata at runtime. As far as the history of lint goes, from Wikipedia looks like Kaushik's guess was exactly right as to why it's called lint. Looks like the name goes back to the late 1970s. Misc ErrorProne Improve your code with Android lint checks checkstyle RxThreadEffectChecker The Checker framework NullAway - Uber Infer - Facebook Infer: RacerD - Facebook Contact @fragmentedcast (on Twitter) or our Youtube channel @rakingleaves @donnfelker and donnfelker (on Instagram) @kaushikgopal and kaushikgopal (on Instagram)

Episode metadata supplied by the publisher feed · Published Oct 24, 2018

Embed this episode

In this episode, Donn and Kaushik talk to Uber's Manu Sridharan on static code analysis. Manu's a badass who did his PhD on the subject! He explains how static code analysis works, how Uber leverages these tools in their app development pipeline and how we can use such tools to build high quality Android apps. Shownotes: http://fragmentedpodcast.com/episodes/139/

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

139: Static code analysis with Manu Sridharan

0:00 39:04

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Fragmented - AI Developer Podcast?

This episode is 39 minutes long.

When was this Fragmented - AI Developer Podcast episode published?

This episode was published on October 24, 2018.

Can I download this Fragmented - AI Developer Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!