Extended planning poker: A proposed model

Sudarmaningtyas, Pantjawati and Rozlina, Mohamed (2020) Extended planning poker: A proposed model. In: 2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 24-25 September, 2020 , Semarang, Indonesia, Indonesia. pp. 1-6.. ISBN 978-1-7281-7226-2

[img] Pdf
Extended Planning Poker A Proposed_Model_Rev1.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy

Abstract

Agile is the leading type of software development methodology and have a higher chance of success than non-agile projects. Collaborative and cooperative are characteristic of the Agile software development method. It is demonstrated by involving users actively, empower the team to make decisions, capture requirements in lightweight and visual, focus on frequent delivery of products through developing small, incremental release, and iterate. This characteristic is causing effort estimation remains the main challenge in agile software development. Planning poker is an effort estimation technique that applied extensively with the ability to empower all team developers to decide, especially in estimate effort. Still, the result is very subjective and takes a long time. This research proposes a new model to improve actual planning poker performance. A proposed model modify two parts of the planning poker is the estimation process and consensus process. Three variables added to the estimation process as well as implementing weight and score for its variables. The consensus process proposed done automatically based on five attributes that are related to the estimator.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Planning poker: Software effort estimation: Agile
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computing
Depositing User: Ms. Ratna Wilis Haryati Mustapa
Date Deposited: 23 Jan 2021 14:46
Last Modified: 23 Jan 2021 14:46
URI: http://umpir.ump.edu.my/id/eprint/30550
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item