Bad smells are sub-optimal code structures that may represent problems needing attention.
We conduct an extensive literature review on bad smells relying on a large body of …

Over the past 15 years, researchers presented numerous techniques and tools for mining
code smells. It is imperative to classify, compare, and evaluate existing techniques and tools …

This report documents the program and outcomes of Dagstuhl Seminar 16162,“Managing
Technical Debt in Software Engineering.” We summarize the goals and format of the …

We investigate the relationship between faults and five of Fowler et al.'s least-studied smells
in code: Data Clumps, Switch Statements, Speculative Generality, Message Chains, and …

Technical debt is a metaphor describing situations where developers accept sacrifices in
one dimension of development (eg software quality) in order to optimize another dimension …

Practices designed to expedite the delivery of stakeholder value can paradoxically lead to
unexpected rework costs that ultimately degrade the flow of value over time. This is …

Context: The technical debt (TD) concept describes a tradeoff between short-term and long-
term goals in software development. While it is highly useful as a metaphor, it has utility …

Architectural smells can negatively impact on different software qualities and can represent
a relevant source of architectural debt. Several architectural smells have been defined by …

Software systems accumulate technical debt (TD) when short-term goals in software
development are traded for long-term goals (eg, quick-and-dirty implementation to reach a …

We study whether humans or machine learning (ML) classification models are better at
classifying scientific research abstracts according to a fixed set of discipline groups. We …