MARC details
| 000 -LEADER |
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| fixed length control field |
03650ntm a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20261007111030.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
261007t20262026my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0010826 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FK .P36 2026 r Thesis |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pantjawati Sudarmaningtyas, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Enhancement of planning poker process using factors quantification for software effort estimation / |
| Statement of responsibility, etc. |
Pantjawati Sudarmaningtyas |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2026 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2026 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 182 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Faculty of Computing |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang - 2026 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Effort estimation remains a persistent challenge in Agile Software Development (ASD), despite extensive prior research. Widely adopted collaborative techniques, particularly Planning Poker (PP), continue to exhibit limitations, including high estimation dispersion, slow convergence, and inconsistent accuracy, largely due to unstructured consensus mechanisms and a strong reliance on individual judgment. To address these challenges, this study proposes Enhanced Planning Poker with Factor Quantification (EPPwFQ), a human-centric estimation approach that systematically integrates empirically validated factors into the Planning Poker process while preserving core Agile collaboration principles. The incorporated factors consist of project-related dimensions, namely requirement complexity and design–implementation characteristics, and peoplerelated dimensions, namely experience, domain knowledge, and technical ability. Grounded in the Design Science Research (DSR) paradigm, the study contributes by identifying and operationalizing key influencing factors, designing the E-PPwFQ artefact through structured factor quantification, and empirically evaluating its performance against established Agile estimation techniques, including Affinity Estimation, Delphi, Three-Point Estimation, and conventional Planning Poker. Controlled experiments were conducted using multiple Agile teams and projects, with productivity, efficiency, consistency, and accuracy as evaluation metrics. The results indicate that E-PPwFQ improves the speed of estimation convergence compared to conventional Planning Poker, as evidenced by a lower em/et ratio (3.66 versus 9.06), while also producing more consistent estimates, as reflected in a reduced coefficient of variation (57.74%), comparable to Three-Point estimation. Distributional analysis shows better balance and fewer extreme estimation values, indicating that agreement is forming more steadily. In terms of accuracy, E-PPwFQ demonstrates performance comparable to conventional Planning Poker (MRE = 1.0576 versus 1.0577), suggesting that its primary contribution lies in enhancing process efficiency and estimation stability rather than minimizing absolute estimation error. Overall, the proposed approach provides a structured and scalable enhancement to Agile effort estimation by improving convergence efficiency and consistency while maintaining a balanced level of accuracy suitable for real-world Agile project environments. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Computing |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| General subdivision |
Dissertations |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |