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Hi there πŸ‘‹

Neil’s research and development focuses on problems in software design and requirements. Some example problems are how to help people build large software systems, supporting researchers in non software fields in data science and building software, such as astronomy, geography, and oceanography. An ongoing research challenge is understanding how machine learning and AI will influence the design of future software systems and tools.

See neilernst.net for more. Our research group is at https://github.com/OcteraIs.

Publications:

My papers are usually available as preprints on my website or via Arxiv. But email me if you want one you cannot find. Rarely requested favorites include my masters and PhD theses.

Teaching:

Contact:

Neil Ernst's Projects

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

neg-results icon neg-results

The editorial for Special Issue on Negative Results, EMSE

onboarding icon onboarding

Getting started guide for students working with me.

openscience icon openscience

Empirical Software Engineering journal (EMSE) open-science and reproducible research initiative

rankr icon rankr

Web application to rank teammates

req-issue icon req-issue

Research project tracing requirements in issue trackers.

rr icon rr

Files related to pre-registration and registered report initiatives

satt-replication icon satt-replication

Replication of Aniche et al. 2016 SCAM paper on architectural thresholding for software metrics.

ska_cdr_repl icon ska_cdr_repl

Replication repository for the paper "Architecting Complex, Long-Lived Scientific Software"

techne-tms icon techne-tms

An ATMS-based implementation of requirements solution finding.

technebot icon technebot

A Google Wave bot that will interact with Techne requirements models

wwh_replication icon wwh_replication

Replication Data for EMSE paper "The Who-What-How of Software Engineering Research"

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