Technical Debt interest assessment: from issues to project

Antonio Martini; Simon Vajda; Rajesh Vasa; Allan Jones; Mohamed Abdelrazek; John Grundy; Jan Bosch

doi:10.1145/3120459.3120469

Technical Debt interest assessment: from issues to project

Antonio Martini
, Simon Vajda
, Rajesh Vasa
, Allan Jones
, Mohamed Abdelrazek
, John Grundy
, Jan Bosch

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

The interest of Technical Debt (TD) is difcult to calculate, especially on a project level. Current approaches are based on fne-grain issue assessment, but there is no evidence about how TD is assessed on a project level. A few tools use an aggregation function that sum the TD issues on a project level. We conducted a multiple case-study on four diferent projects. We asked the project teams to assess the TD both on an issue level and on a project level. We also asked the product manager and a senior developer to assess the TD on a project level. We found that the function mapping the interest of TD to a project overall is not the sum of issue-level TD. We report the quantitative results of the performed experiment and we also developed a qualitative explanation of the results based on interviews with the development team. This paper represents a frst step towards assessing the interest of TD at a project level.

Original language	English
Title of host publication	Proceedings of the XP2017 Scientific Workshops
Editors	Francesca Arcelli Fontana, Clemente Izurieta, Robert L. Nord, Wolfgang Trumler
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	6
Volume	Part F129907
ISBN (Electronic)	9781450352642
DOIs	https://doi.org/10.1145/3120459.3120469
Publication status	Published - 2017
Externally published	Yes
Event	International Workshop on Managing Technical Debt 2017 - Cologne, Germany Duration: 22 May 2017 → 22 May 2017 Conference number: 9th

Workshop

Workshop	International Workshop on Managing Technical Debt 2017
Abbreviated title	MTD 2017
Country/Territory	Germany
City	Cologne
Period	22/05/17 → 22/05/17

Keywords

Case study
Interest
Project management
Technical debt
Tracking

Access to Document

10.1145/3120459.3120469

Cite this

Martini, A., Vajda, S., Vasa, R., Jones, A., Abdelrazek, M., Grundy, J., & Bosch, J. (2017). Technical Debt interest assessment: from issues to project. In F. Arcelli Fontana, C. Izurieta, R. L. Nord, & W. Trumler (Eds.), Proceedings of the XP2017 Scientific Workshops (Vol. Part F129907). Article 9 Association for Computing Machinery (ACM). https://doi.org/10.1145/3120459.3120469

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title = "Technical Debt interest assessment: from issues to project",

abstract = "The interest of Technical Debt (TD) is difcult to calculate, especially on a project level. Current approaches are based on fne-grain issue assessment, but there is no evidence about how TD is assessed on a project level. A few tools use an aggregation function that sum the TD issues on a project level. We conducted a multiple case-study on four diferent projects. We asked the project teams to assess the TD both on an issue level and on a project level. We also asked the product manager and a senior developer to assess the TD on a project level. We found that the function mapping the interest of TD to a project overall is not the sum of issue-level TD. We report the quantitative results of the performed experiment and we also developed a qualitative explanation of the results based on interviews with the development team. This paper represents a frst step towards assessing the interest of TD at a project level.",

keywords = "Case study, Interest, Project management, Technical debt, Tracking",

author = "Antonio Martini and Simon Vajda and Rajesh Vasa and Allan Jones and Mohamed Abdelrazek and John Grundy and Jan Bosch",

year = "2017",

doi = "10.1145/3120459.3120469",

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booktitle = "Proceedings of the XP2017 Scientific Workshops",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Workshop on Managing Technical Debt 2017, MTD 2017 ; Conference date: 22-05-2017 Through 22-05-2017",

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Martini, A, Vajda, S, Vasa, R, Jones, A, Abdelrazek, M, Grundy, J & Bosch, J 2017, Technical Debt interest assessment: from issues to project. in F Arcelli Fontana, C Izurieta, R L. Nord & W Trumler (eds), Proceedings of the XP2017 Scientific Workshops. vol. Part F129907, 9, Association for Computing Machinery (ACM), New York NY USA, International Workshop on Managing Technical Debt 2017, Cologne, North Rhine-Westphalia, Germany, 22/05/17. https://doi.org/10.1145/3120459.3120469

Technical Debt interest assessment: from issues to project. / Martini, Antonio; Vajda, Simon; Vasa, Rajesh et al.
Proceedings of the XP2017 Scientific Workshops. ed. / Francesca Arcelli Fontana; Clemente Izurieta; Robert L. Nord; Wolfgang Trumler. Vol. Part F129907 New York NY USA: Association for Computing Machinery (ACM), 2017. 9.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Technical Debt interest assessment

T2 - International Workshop on Managing Technical Debt 2017

AU - Martini, Antonio

AU - Vajda, Simon

AU - Vasa, Rajesh

AU - Jones, Allan

AU - Abdelrazek, Mohamed

AU - Grundy, John

AU - Bosch, Jan

N1 - Conference code: 9th

PY - 2017

Y1 - 2017

N2 - The interest of Technical Debt (TD) is difcult to calculate, especially on a project level. Current approaches are based on fne-grain issue assessment, but there is no evidence about how TD is assessed on a project level. A few tools use an aggregation function that sum the TD issues on a project level. We conducted a multiple case-study on four diferent projects. We asked the project teams to assess the TD both on an issue level and on a project level. We also asked the product manager and a senior developer to assess the TD on a project level. We found that the function mapping the interest of TD to a project overall is not the sum of issue-level TD. We report the quantitative results of the performed experiment and we also developed a qualitative explanation of the results based on interviews with the development team. This paper represents a frst step towards assessing the interest of TD at a project level.

AB - The interest of Technical Debt (TD) is difcult to calculate, especially on a project level. Current approaches are based on fne-grain issue assessment, but there is no evidence about how TD is assessed on a project level. A few tools use an aggregation function that sum the TD issues on a project level. We conducted a multiple case-study on four diferent projects. We asked the project teams to assess the TD both on an issue level and on a project level. We also asked the product manager and a senior developer to assess the TD on a project level. We found that the function mapping the interest of TD to a project overall is not the sum of issue-level TD. We report the quantitative results of the performed experiment and we also developed a qualitative explanation of the results based on interviews with the development team. This paper represents a frst step towards assessing the interest of TD at a project level.

KW - Case study

KW - Interest

KW - Project management

KW - Technical debt

KW - Tracking

UR - https://www.scopus.com/pages/publications/85029876304

U2 - 10.1145/3120459.3120469

DO - 10.1145/3120459.3120469

M3 - Conference Paper

AN - SCOPUS:85029876304

VL - Part F129907

BT - Proceedings of the XP2017 Scientific Workshops

A2 - Arcelli Fontana, Francesca

A2 - Izurieta, Clemente

A2 - L. Nord, Robert

A2 - Trumler, Wolfgang

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 22 May 2017 through 22 May 2017

ER -

Technical Debt interest assessment: from issues to project

Abstract

Workshop

Keywords

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