Technical debt is often the result of Short Run decisions made during code development, which can lead to long-term maintenance costs and risks. Hence, evaluating the progression of a project and understanding related code quality aspects is essential. Fortunately, the prioritization process for addressing technical debt can be expedited with code analysis tools like the established SonarQube. SonarQube has some limitations when it comes to applying it in incremental industrial software systems. These limitations include: lacking comparability of code evolution if SonarQube versions change over time, cumbersome processes are needed to retrieve historical quality analysis, and visualizations that limit the interpretation of code quality asp...
The set of concepts collectively known as Technical Debt (TD) assume that software liabilities set u...
Context. Among the static analysis tools available, SonarQube is one of the most used. SonarQube det...
[Context] The popularity of tools for software quality analysis has increased over the years, with s...
Context: Technical debt is known to impact maintainability of software. As source code files grow in...
While technical debt grows in absolute numbers as software systems evolve over time, the density of ...
Context: Technical debt (TD) discusses the negative impact of sub-optimal decisions to cope with the...
Context: Technical Debt (TD) discusses the negative impact of sub-optimal decisions to cope with the...
Background. Software engineering is one of the engineering fields with the highest inflow of junior ...
Technical debt (TD) is a by-product of short-term optimisation that results in long-term disadvantag...
Background: Technical Debt (TD) is a metaphor for sub-optimal solutions that are assumed to affect t...
Software reuse is a well-established software engineering process that aims at improving development...
Context: Technical debt is known to impact maintainability of software. As source code files grow in...
Code Technical Debt (TD) is intentionally or unintentionally created when developers introduce ineff...
Technical debt (TD) contextualizes problems faced during software evolution considering the tasks th...
The technical debt (TD) metaphor describes a tradeoff between short-term and long-term goals in soft...
The set of concepts collectively known as Technical Debt (TD) assume that software liabilities set u...
Context. Among the static analysis tools available, SonarQube is one of the most used. SonarQube det...
[Context] The popularity of tools for software quality analysis has increased over the years, with s...
Context: Technical debt is known to impact maintainability of software. As source code files grow in...
While technical debt grows in absolute numbers as software systems evolve over time, the density of ...
Context: Technical debt (TD) discusses the negative impact of sub-optimal decisions to cope with the...
Context: Technical Debt (TD) discusses the negative impact of sub-optimal decisions to cope with the...
Background. Software engineering is one of the engineering fields with the highest inflow of junior ...
Technical debt (TD) is a by-product of short-term optimisation that results in long-term disadvantag...
Background: Technical Debt (TD) is a metaphor for sub-optimal solutions that are assumed to affect t...
Software reuse is a well-established software engineering process that aims at improving development...
Context: Technical debt is known to impact maintainability of software. As source code files grow in...
Code Technical Debt (TD) is intentionally or unintentionally created when developers introduce ineff...
Technical debt (TD) contextualizes problems faced during software evolution considering the tasks th...
The technical debt (TD) metaphor describes a tradeoff between short-term and long-term goals in soft...
The set of concepts collectively known as Technical Debt (TD) assume that software liabilities set u...
Context. Among the static analysis tools available, SonarQube is one of the most used. SonarQube det...
[Context] The popularity of tools for software quality analysis has increased over the years, with s...