Defining the decision factors for managing defects: A technical debt perspective

Snipes, Will; Robinson, Jo; Guo,; Seaman,

doi:10.1109/mtd.2012.6226001

Cited by 41 publications

(30 citation statements)

References 6 publications

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“…Additionally, we can observe that approximately 28% of the studies acknowledge the existence of interest probability. From these studies, two -i.e., and (Snipes, 2012) -adopt a financial risk management approach where interest probability is calculated as the standard deviation of interest rate; whereas the rest adopt a risk management approach, i.e., they consider interest probability as the probability of the TD incurring event to occur. …”

Section: Interest In Technical Debt Researchmentioning

confidence: 99%

“…The probability that TD, if not repaid, will make other work more expensive Decreasing maintainability The probability that TD, if not repaid, will make other work more expensive Siebra (2012) Extra Effort Snipes (2012) The extra cost required to complete a maintenance activity in the future if the task is postponed, plus the cost of other work that is required due to the presence of the TD (2011) Expected interest amount and interest standard deviation can be estimated using historical effort, usage, change, and defect data.…”

Section: Studymentioning

confidence: 99%

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Establishing a Framework for Managing Interest in Technical Debt

Ampatzoglou

Avgeriou

Chatzigeorgiou

2015

Proceedings of the Fifth International Symposium on Business Modeling and Software Design

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Abstract:Technical debt (TD) has gained significant attention over the past years. Due to its interdisciplinary nature, it has become attractive for both technical and management stakeholders, to acknowledge and discuss issues related to decayed design-time qualities over time, and their corresponding consequences. Until now, despite the inherent relevance of technical debt management to economics, the TD research community has not sufficiently exploited economical methods/models. Therefore, in this paper we present a framework for managing interest in technical debt, founded on top of well-known economic theories (i.e., Loanable Funds and Liquidity Preference Theory) and current TD research. Specifically, in our framework, we will discuss aspects related to technical debt interest, such as: types of TD interest, TD interest characteristics, and a proposed TD interest theory. Finally, in order to boost the amount of empirical studies in TD research, we will propose several tentative research designs that could be used for exploring the notion of interest in technical debt practice.

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Section: Interest In Technical Debt Researchmentioning

confidence: 99%

Section: Studymentioning

confidence: 99%

Establishing a Framework for Managing Interest in Technical Debt

Ampatzoglou

Avgeriou

Chatzigeorgiou

2015

Proceedings of the Fifth International Symposium on Business Modeling and Software Design

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“…The tools used to find source code debts and the tools that support test executions are capable of identifying defects. Snipes et al [30] detailed a technique based on change control boards (CCB) to categorize and prioritize defects supporting manager decisions to fix/defer debts based on cost-benefit analysis.…”

Section: Identification Of Technical Debt Guo and Seamanmentioning

confidence: 99%

“…It is possible to find several works related to decision making process in TD, such as [30,32,33]. TDTracker tool aims to help managers control TD and support their decision, establishing a relationship to these works.…”

Section: Td-trackermentioning

confidence: 99%

Supporting Technical Debt Cataloging with TD-Tracker Tool

Foganholi

Garcia

Eler

et al. 2015

Advances in Software Engineering

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Technical debt (TD) is an emergent area that has stimulated academic concern. Managers must have information about debt in order to balance time-to-market advantages and issues of TD. In addition, managers must have information about TD to plan payments. Development tasks such as designing, coding, and testing generate different sorts of TD, each one with specific information. Moreover, literature review pointed out a gap in identifying and accurately cataloging technical debt. It is possible to find tools that can identify technical debt, but there is not a described solution that supports cataloging all types of debt. This paper presents an approach to create an integrated catalog of technical debts from different software development tasks. The approach allows tabulating and managing TD properties in order to support managers in the decision process. It also allows managers to track TD. The approach is implemented by TD-Tracker tool, which can integrate different TD identification tools and import identified debts. We present integrations between TD-Tracker and two external tools, used to identify potential technical debts. As part of the approach, we describe how to map the relationship between TD-Tracker and the external tools. We also show how to manage external information within TD-Tracker.

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“…Although there are different studies that have proposed strategies for the management of TD (Snipes et al, 2012) (Power, 2013) (Codabux and Williams, 2013) (Mamun et al, 2014), none of them provides a deep discussion on decision-making criteria for the payment of TD. On these works, decision criteria are often discussed in the background, sometimes they are not even mentioned.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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ICEIS 2016 received 257 paper submissions from 42 countries in all continents, which makes it one of the largest conferences in the World in the area of Information Systems, thus demonstrating the success and global dimension of this conference. From these, 42 papers were selected for publication and presentation at the Conference as full papers. These numbers, leading to a full-paper acceptance ratio of 16%, show the intention of preserving a high quality forum for this conference, a quality that we intend to maintain in the future, for the next editions of this conference.The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2016 Selected Papers to be published by Springer in the LNBIP Series.The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: Claudia Loebbecke (University of Cologne, Germany), Sergio Gusmeroli (TXT e-solutions SPA, Italy), Wil Van Der Aalst (Technische Universiteit Eindhoven, Netherlands) and Jan Vom Brocke (University of Liechtenstein, Liechtenstein). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.Moreover, ICEIS 2016 had a Doctoral Consortium on Enterprise Information Systems and 1 tutorial. We are thankful to the Conference Co-chairs (Olivier Camp and José Cordeiro) and Program Co-chairs (Slimane Hammoudi, Leszek Maciaszek and Michele M. Missikoff) for their dedication and hard work in organizing these events.We sincerely thank all the authors for their submissions and participation in ICEIS 2016. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2016 team for all organizational processes. XIIIWe hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next edition of ICEIS, details of which are available at http://www.iceis.org. Slimane Hammoudi University of Cologne, GermanyAbstract:...

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Defining the decision factors for managing defects: A technical debt perspective

Cited by 41 publications

References 6 publications

Establishing a Framework for Managing Interest in Technical Debt

Establishing a Framework for Managing Interest in Technical Debt

Supporting Technical Debt Cataloging with TD-Tracker Tool

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

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