moosetechnology/MooseIDE
Oct 2024 – May 2025
2 Months active
Languages Used
Smalltalk
Technical Skills
Code AnalysisDependency ManagementIDE DevelopmentRefactoringCode RefactoringDependency Analysis
sofeess
PROFILE
Sofeess
Ghizlane El Boussaidi contributed to the moosetechnology/MooseIDE repository by enhancing the Dependency Structural Matrix (DSM) features and fixing interaction bugs. She improved dependency visualization by enabling the DSM to handle dependencies between two distinct entity sets, with matrix sizing based on their union, and introduced sorting by usage count with alphabetical tie-breaks for clarity. Her work included a dynamic DSM window title reflecting analyzed entities and a fix to prevent zooming on non-structural elements, addressing usability issues. Using Smalltalk and applying skills in code analysis and refactoring, she delivered maintainable, traceable solutions that improved analysis accuracy and user experience.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
162
Activity Months2
Your Network
17 peopleSame Organization
@etsmtl.ca1
Work History
May 2025
2 Commits • 1 Features
May 1, 2025May 2025: MooseIDE dependency visualization enhancements delivering clearer and more accurate dependency analysis, with a reworked matrix capable of handling dependencies between two distinct entity sets (X and Y) and a matrix size based on their union. These changes were implemented through two commits: bb154f495cbc054284ad58b507687f822bc197b2 (Sorting DSM elements by dependency usage, with alphabetical tie-breaks) and 7ad498205f97daa5d04275bef627602ec64c8d99 (Expandable matrix: size computed from X/Y selections). Major bugs fixed include ensuring the dependency matrix size is derived from the union of selected X and Y entities, addressing previous sizing inconsistencies. Overall impact: improved readability and accuracy of dependency analysis, increased flexibility for complex architectures, and faster, data-driven decision-making. Technologies/skills demonstrated: algorithmic sorting, matrix dimension calculations, DSM-based visualization enhancements, and disciplined version-control practices enabling incremental delivery.
2 Commits • 1 Features
May 1, 2025May 2025: MooseIDE dependency visualization enhancements delivering clearer and more accurate dependency analysis, with a reworked matrix capable of handling dependencies between two distinct entity sets (X and Y) and a matrix size based on their union. These changes were implemented through two commits: bb154f495cbc054284ad58b507687f822bc197b2 (Sorting DSM elements by dependency usage, with alphabetical tie-breaks) and 7ad498205f97daa5d04275bef627602ec64c8d99 (Expandable matrix: size computed from X/Y selections). Major bugs fixed include ensuring the dependency matrix size is derived from the union of selected X and Y entities, addressing previous sizing inconsistencies. Overall impact: improved readability and accuracy of dependency analysis, increased flexibility for complex architectures, and faster, data-driven decision-making. Technologies/skills demonstrated: algorithmic sorting, matrix dimension calculations, DSM-based visualization enhancements, and disciplined version-control practices enabling incremental delivery.
May 2025
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024: Delivered two MooseIDE DSM improvements that enhance analysis context and interaction reliability, driving clearer insights during code analysis and reducing interaction errors. Key outcomes include (1) a bug fix for the DSM zoom interaction preventing zoom when the target is a method, attribute, or empty dependency (addressing issue #1214); (2) a dynamic DSM window title that reflects the original analyzed entities by introducing a title instance variable and a titleForDetailedDSM: aTuple method, with openDetailedDSMOn: updated for precise context.
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024: Delivered two MooseIDE DSM improvements that enhance analysis context and interaction reliability, driving clearer insights during code analysis and reducing interaction errors. Key outcomes include (1) a bug fix for the DSM zoom interaction preventing zoom when the target is a method, attribute, or empty dependency (addressing issue #1214); (2) a dynamic DSM window title that reflects the original analyzed entities by introducing a title instance variable and a titleForDetailedDSM: aTuple method, with openDetailedDSMOn: updated for precise context.
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Quality Metrics
Correctness82.6%
Maintainability80.0%
Architecture80.0%
Performance62.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Smalltalk
Technical Skills
Code AnalysisCode RefactoringDependency AnalysisDependency ManagementIDE DevelopmentRefactoringSoftware DesignSoftware Development
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