Journal ArticleDOI
An exploration of technical debt
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TLDR
A theoretical framework is created that provides a holistic view of technical debt comprising a set of technical debts dimensions, attributes, precedents and outcomes, as well as the phenomenon itself and a taxonomy that describes and encompasses different forms of the technical debt phenomenon.About:
This article is published in Journal of Systems and Software.The article was published on 2013-06-01. It has received 365 citations till now. The article focuses on the topics: Technical debt & Technical communication.read more
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Journal ArticleDOI
A systematic mapping study on technical debt and its management
TL;DR: There is a need for more empirical studies with high-quality evidence on the whole TDM process and on the application of specific TDM approaches in industrial settings.
Journal ArticleDOI
Guidelines for including grey literature and conducting multivocal literature reviews in software engineering
TL;DR: The provided MLR guidelines will support researchers to effectively and efficiently conduct new MLRs in any area of SE and are recommended to utilize in their MLR studies and then share their lessons learned and experiences.
Proceedings ArticleDOI
Measure it? Manage it? Ignore it? software practitioners and technical debt
TL;DR: It is found that architectural decisions are the most important source of technical debt, and while respondents believe the metaphor is itself important for communication, existing tools are not currently helpful in managing the details.
Proceedings ArticleDOI
The need for multivocal literature reviews in software engineering: complementing systematic literature reviews with grey literature
TL;DR: It is found that grey literature can give substantial benefits in certain areas of SE, and that the inclusion of grey literature brings forward certain challenges as evidence in them is often experience and opinion based.
Journal ArticleDOI
A survey on software smells
Tushar Sharma,Diomidis Spinellis +1 more
TL;DR: The definitions of smells, their causes as well as effects, and their detection mechanisms presented in the current literature are explored, and existing smell detection methods are classified into five groups — metrics, rules/heuristics, history, machine learning, and optimization-based detection.
References
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Book
Qualitative Data Analysis: An Expanded Sourcebook
TL;DR: This book presents a step-by-step guide to making the research results presented in reports, slideshows, posters, and data visualizations more interesting, and describes how coding initiates qualitative data analysis.
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Doing Qualitative Research
TL;DR: In this article, the authors discuss the benefits of using qualitative data in the context of quantitative research and the challenges of using quantitative data in a qualitative research setting. But, they also stress the importance of the quality of the qualitative data and the feasibility of using it in a quantitative setting.
Proceedings ArticleDOI
The WyCash portfolio management system
TL;DR: WyCASH+ is a portfolio management system which provides basic accounting, record-keeping and reporting, as well as analytical computations to assist the manager of cash portfolios, and employs object technology in order to quickly and effectively address the diversity present in the market.
Journal ArticleDOI
Does code decay? Assessing the evidence from change management data
TL;DR: This work defines code decay and proposes a number of measurements (code decay indices) on software and on the organizations that produce it, that serve as symptoms, risk factors, and predictors of decay.