Software process anti-patterns catalogue

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43957539" target="_blank" >RIV/49777513:23520/19:43957539 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1145/3361149.3361178" target="_blank" >http://dx.doi.org/10.1145/3361149.3361178</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3361149.3361178" target="_blank" >10.1145/3361149.3361178</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Software process anti-patterns catalogue

Popis výsledku v původním jazyce

For software project managers and other practitioners, an important activity is to detect, and consequently find solutions to, insufficiencies and mistakes in process and other project management (PM) activities. Particularly interesting among these are anti-patterns: commonly occurring solutions with known negative effects. Their detection in running, as well as finished, projects is often hard as it needs to be performed by specialists, demands expertise and skill, and is prone to biases. Obtaining the expertise is a long-time effort and the sources of relevant knowledge are scattered and vary in the depth of treatment. These issues could be alleviated by detecting PM and software process anti-patterns in data available in project Application Lifecycle Management tools. To facilitate the work towards such an approach, we have performed a review of academic, professional and grey literature sources to collect currently known and defined software PM anti-patterns. The collected set shows that they vary in terminology and description format which can lead to misunderstandings, different interpretations and other difficulties, especially when trying to devise a universally acceptable method of detection. In this paper we describe the findings of the review and the design of a catalogue of PM and process anti-patterns, based on the knowledge obtained. It uses a description template designed to support data-driven detection of anti-pattern occurrence. An initial version of the catalogue has been made publicly accessible, with the aim to reconcile the various sources and foster community discussion on understanding and descriptions of the individual anti-patterns.

Název v anglickém jazyce

Software process anti-patterns catalogue

Popis výsledku anglicky

For software project managers and other practitioners, an important activity is to detect, and consequently find solutions to, insufficiencies and mistakes in process and other project management (PM) activities. Particularly interesting among these are anti-patterns: commonly occurring solutions with known negative effects. Their detection in running, as well as finished, projects is often hard as it needs to be performed by specialists, demands expertise and skill, and is prone to biases. Obtaining the expertise is a long-time effort and the sources of relevant knowledge are scattered and vary in the depth of treatment. These issues could be alleviated by detecting PM and software process anti-patterns in data available in project Application Lifecycle Management tools. To facilitate the work towards such an approach, we have performed a review of academic, professional and grey literature sources to collect currently known and defined software PM anti-patterns. The collected set shows that they vary in terminology and description format which can lead to misunderstandings, different interpretations and other difficulties, especially when trying to devise a universally acceptable method of detection. In this paper we describe the findings of the review and the design of a catalogue of PM and process anti-patterns, based on the knowledge obtained. It uses a description template designed to support data-driven detection of anti-pattern occurrence. An initial version of the catalogue has been made publicly accessible, with the aim to reconcile the various sources and foster community discussion on understanding and descriptions of the individual anti-patterns.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-4503-6206-1

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

1-10

Název nakladatele

Association for Computing Machinery (ACM)

Místo vydání

New York

Místo konání akce

Irsee, Německo

Datum konání akce

3. 7. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—