At Ease with Your Warnings: The Principles of the Salutogenesis Model Applied to Automatic Static Analysis
| Autor: | Stefan Wagner, Jan-Peter Ostberg |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Programming Languages Java business.industry Computer science 020207 software engineering Static program analysis ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Static analysis Statische Analyse Software Qualität Salutogenese Salutogenesis Software Engineering (cs.SE) Computer Science - Software Engineering 020204 information systems Health care 0202 electrical engineering electronic engineering information engineering Software engineering business computer Softwareentwicklung Arbeitspsychologie Qualitätssicherung computer.programming_language Programming Languages (cs.PL) |
| DOI: | 10.48550/arxiv.1611.08004 |
| Popis: | The results of an automatic static analysis run can be overwhelming, especially for beginners. The overflow of information and the resulting need for many decisions is mentally tiring and can cause stress symptoms. There are several models in health care which are designed to fight stress. One of these is the salutogenesis model created by Aaron Antonovsky. In this paper, we will present an idea on how to transfer this model into a triage and recommendation model for static analysis tools and give an example of how this can be implemented in FindBugs, a static analysis tool for Java. Comment: 5 pages, 4 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|