Publication Type |
Journal Article |
School or College |
School of Medicine |
Department |
Pathology |
Creator |
Dwight, Zachary Lawrence |
Other Author |
Barnes, Alexa |
Title |
Laboratory driven, lean-to-adaptive prototyping in Parallel for Web software project identification and application development in health science research |
Date |
2012 |
Description |
Clinical research laboratories, bioinformatics core facilities, and health science organizations often rely on heavy planning based software development models to propose, build, and distribute software as a consumable product. Projects in non-agile software life cycles tend to have rigid ?plan-design-build? milestones, increasing the amount of time needed for software development completion. Though the classic software development approach is needed for large-scale and organizational projects, clinical research laboratories can expedite software development while maintaining quality by using lean prototyping as a condition of project advancement to a committed adaptive software development cycle. Software projects benefit from an agile methodology due to the active and changing requirements often guided by experimental data driven models. We describe a lean to adaptive method used in parallel with laboratory bench work to develop quality software quickly that meets the requirements of a fast-paced research environment and reducing time to production, providing immediate value to the end user, and limiting unnecessary development practices in favor of results. |
Type |
Text |
Publisher |
Scientific Research Publishing (SCIRP) |
Volume |
5 |
Issue |
2 |
First Page |
62 |
Last Page |
68 |
Language |
eng |
Bibliographic Citation |
Dwight, Z. L., & Barnes, A. (2012). Laboratory driven, lean-to-adaptive prototyping in Parallel for Web software project identification and application development in health science research. Journal of Software Engineering and Applications, 5(2), 62-8. |
Rights Management |
©Scientific Research Publishing (SCIRP) |
Format Medium |
application/pdf |
Format Extent |
148,338 bytes |
Identifier |
ir-main,17008 |
ARK |
ark:/87278/s6xw5300 |
Setname |
ir_uspace |
ID |
703446 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6xw5300 |