Abstract
Productivity and Sustainability Improvement Planning (PSIP) is a lightweight, iterative workflow that allows software development teams to identify development bottlenecks and track progress to overcome them. In this paper, we present an overview of PSIP and how it compares to other software process improvement (SPI) methodologies, and provide two case studies that describe how the use of PSIP led to successful improvements in team effectiveness and efficiency.
| Original language | English |
|---|---|
| Title of host publication | Tools and Techniques for High Performance Computing - Selected Workshops, HUST, SE-HER and WIHPC, held in Conjunction with SC 2019, Revised Selected Papers |
| Editors | Guido Juckeland, Sunita Chandrasekaran |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 98-110 |
| Number of pages | 13 |
| ISBN (Print) | 9783030447274 |
| DOIs | |
| State | Published - Mar 26 2020 |
| Event | 6th Annual Workshop on HPC User Support Tools, HUST 2019, International Workshop on Software Engineering for HPC-Enabled Research, SE-HER 2019, and 3rd Workshop on Interactive High-Performance Computing, WIHPC 2019, held in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2019 - Denver , United States Duration: Nov 17 2019 → Nov 18 2019 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 1190 CCIS |
| ISSN (Print) | 1865-0929 |
| ISSN (Electronic) | 1865-0937 |
Conference
| Conference | 6th Annual Workshop on HPC User Support Tools, HUST 2019, International Workshop on Software Engineering for HPC-Enabled Research, SE-HER 2019, and 3rd Workshop on Interactive High-Performance Computing, WIHPC 2019, held in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2019 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 11/17/19 → 11/18/19 |
Funding
Special thanks to Lois McInnes (ANL) and the members of IDEAS-ECP. Thanks to PSIP partners Danny Perez (LANL), Art Voter (LANL), Christoph Junhans (LANL), and Pavan Balaji (ANL). Images used by permission. This work was supported by the U.S. Department of Energy Office of Science, Office of Advanced Scientific Computing Research (ASCR), Office of Biological and Environmental Research (BER), and by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. SAND2019-9693 C.
Keywords
- Software development
- Software engineering
- Software process improvement
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