Software process anti-pattern detection in project data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43957538" target="_blank" >RIV/49777513:23520/19:43957538 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3361149.3361169" target="_blank" >http://dx.doi.org/10.1145/3361149.3361169</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3361149.3361169" target="_blank" >10.1145/3361149.3361169</a>

Result language

angličtina

Original language name

Software process anti-pattern detection in project data

Original language description

There is a significant amount of guidance on Project Management (PM) including software development methodologies, best practices and anti-patterns (APs). There is, however, a lack of automated way of applying this knowledge by analyzing readily available data from tools aiding in software PM, such as Application Lifecycle Management (ALM) tools. We propose a method of detecting process and PM anti-patterns in project data which can be used to warn software development teams about a potential threat to the project, or to conduct more general studies on the impact of AP occurrence on project success and product quality. We previously published a concept for the data mining and analysis toolset distinct from other research approaches and related work. Based on this toolset, we devised a formalized basis for our detection method in the form of standardized AP description template and a model for pattern operationalization over project data extracted from ALM tools. The main contribution of this paper is the general method for AP operationalization taking the description template as a starting point, discussed together with its potential limitations. We performed an initial validation of the method on data from student projects, using an AP we encountered in practice called “Collective Procrastination” which we also describe in this paper together with its detailed formal operationalization.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

EuroPLop &apos;19: Proceedings of the 24th European Conference on Pattern Languages of Programs

ISBN

978-1-4503-6206-1

ISSN

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e-ISSN

—

Number of pages

12

Pages from-to

1-12

Publisher name

Association for Computing Machinery (ACM)

Place of publication

New York

Event location

Irsee, Německo

Event date

Jul 3, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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