Intro
Preface
SAICSIT 2023 Organisation
Contents
Computer Science Track
Matching Production and Test Files: A Comparison of Filename and Statement-Based Approaches
1 Introduction
2 Background
2.1 Related Work
2.2 Problem Statement
3 Matching Files via Filenames
4 Matching Files via Assertions
4.1 Distinguishing Between Tests and Production Files
4.2 Block 2: Extract Assert Statements
4.3 Block 3: Split Fluent Assertion Methods in Assert Statements
4.4 Block 4: Identify Directly-Tested Arguments

4.5 Block 5: Locate Directly and Indirectly Tested Objects
4.6 Block 6: Extract Production Classes from Declaration Statements
5 Performance Metrics: Precision, Recall and F1-Score
6 Bootstrap Confidence Intervals
7 Results and Discussion
7.1 Threats to Validity
8 Conclusion
References
Focused Crawling for Automated IsiXhosa Corpus Building
1 Introduction
2 Related Works
3 Methodology
3.1 Design of Crawler
4 Analysis
4.1 Basic Statistics and Validation
4.2 Statistical Distributions of the Corpus
5 Discussion
5.1 Effects of Agglutination

5.2 Effect of Seed URLs on Final Crawl
6 Conclusions and Future Work
References
Zero-Day Threats Detection for Critical Infrastructures
1 Introduction
2 Related Works
3 Experimental Datasets
4 Machine Learning Background
4.1 Tree-Based Ensemble Classifiers
4.2 Naive Bayes
4.3 Support Vector Machine
5 The Proposed Fuzzy-Based Framework
6 Results
6.1 Binary Classification Results
6.2 Multi-class Classification Results
6.3 Zero-Day Attack Prediction
7 Conclusion
References
A Verification Tool for Real-Time Task Schedulability Analysis

1 Introduction
2 Related Work
3 Technical Details
4 Features of the Tool
5 Performance Evaluation
6 Conclusions
References
Parsing Semi-structured Languages: A Crochet Pattern to Diagram Translation
1 Introduction
2 Related Work
2.1 Translating Semi-structured Natural Language
2.2 Crochet Pattern Parsing
3 Analysis of Crochet Patterns
4 Implementation
4.1 Crogram
4.2 Semi-structured Natural Language to Formal Language
4.3 Formal Language to Diagram
5 Results
5.1 Semi-structured Natural Language to Crogram
5.2 Crogram to Diagram

6 Conclusion and Future Work
References
Information Systems Track
A Review of Knowledge Sharing Challenges within E-government Projects: A Perspective of the Ipe Knowledge Sharing Model
1 Introduction
2 The Ipe 2003 Knowledge Sharing Model
3 Study Approach
3.1 Searching for Literature
3.2 Selecting Articles for the Review
3.3 Analysing and Interpreting the Literature
3.4 Writing up the Results
4 Discussion and Analysis
4.1 Motivation to Share Knowledge on E-government Projects
4.2 The Nature of Knowledge Shared on E-government Projects