How Often do Experts Make Mistakes?
| Autor: | Palix, Nicolas, Lawall, Julia L., Thomas, Gaël, Muller, Gilles |
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| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
History of pattern occurrences
bug tracking Herodotos Coccinelle Data processing Computer science Metrics (D.4.8) Complexity measures Performance measures Process metrics (NEW) Product metrics (NEW) Software science Language Constructs and Features (E.2) Abstract data types Classes and objects (NEW) Concurrent programming structures Constraints (NEW) Control structures Coroutines Data types and structures Dynamic storage management Frameworks (NEW) Inheritance (NEW) Input/output Modules packages Patterns (NEW) Polymorphism (NEW) Procedures functions and subroutines Recursion |
| Zdroj: | Proceedings of the 9th Workshop on Aspects, Components, and Patterns for Infrastructure Software (ACP4IS '10) / Bram Adams, Michael Haupt, Daniel Lohmann (Hrsg.). - Potsdam : Universitätsverlag Potsdam, 2010. - ISBN 978-3-86956-043-4. - S. 9 - 17 |
| Druh dokumentu: | InProceedings |
| Popis: | Large open-source software projects involve developers with a wide variety of backgrounds and expertise. Such software projects furthermore include many internal APIs that developers must understand and use properly. According to the intended purpose of these APIs, they are more or less frequently used, and used by developers with more or less expertise. In this paper, we study the impact of usage patterns and developer expertise on the rate of defects occurring in the use of internal APIs. For this preliminary study, we focus on memory management APIs in the Linux kernel, as the use of these has been shown to be highly error prone in previous work. We study defect rates and developer expertise, to consider e.g., whether widely used APIs are more defect prone because they are used by less experienced developers, or whether defects in widely used APIs are more likely to be fixed. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
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