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Main
UQU Programs
Software Engineering

Software Metrics

SE4205
Two hours English

Software Metrics

Software Engineering Economics
SE2204 IT Project Management
Two hours One requisite
1 Introduction to Software Engineering Economics / Role of economics in software engineering and decision-making / Importance of economic metrics like ROI and TCO / Case studies on economic successes and failures in software projects
2 Software Lifecycle Economics / Economic considerations across planning, development, and maintenance / Resource allocation and budgeting in software projects / Financial implications of agile vs. traditional development models / Economic impact of open-source versus proprietary solutions
3 Cost and Value Analysis in Software Development / Estimating direct and indirect costs in software projects / Concepts like total cost of ownership and value stream mapping / Metrics for productivity, efficiency, and economic decision-making
4 Risk and Uncertainty in Software Projects / Financial risk analysis and scenario planning / Sensitivity analysis and cost overrun management strategies / Economic decision-making under uncertainty and risk
5 Economic Analysis Methods in Software Engineering / Cost-benefit analysis, cost-effectiveness analysis, and break-even analysis / Optimization techniques for cost reduction / Comparison of economic implications of agile and lean methodologies
6 Software Pricing Strategies and Business Models / Analysis of licensing, subscription, and pay-per-use models / Financial considerations for cloud-based and IoT software solutions / Freemium vs. premium pricing models and their economic effects
7 Sustainability and Economic Impacts / Economic decision-making for sustainability in software projects / Energy-efficient algorithms and sustainability metrics / Long-term financial implications of green software engineering practices
8 Tools and Techniques for Economic Analysis / Simulation software and financial modeling tools / Forecasting methods for economic decisions in software projects / Use of machine learning and data analytics in economic analysis
9 Advanced Topics in Software Economics / Economic impacts of emerging technologies like AI and blockchain / Microeconomics of cloud computing and globalization / Cost-benefit perspectives of offshoring and network effects in ecosystems
1.1 Mapped to: K1

Explain fundamental economic principles, including cost, pricing, and financial concepts, within the context of software engineering.

Teaching Strategy Lecture, exercise, and group discussion
Assessment Methods Quiz, exams, assignments
1.2 Mapped to: K2

Evaluate the lifecycle economics of software products and projects to inform investment and pricing decisions. ?

Teaching Strategy Lecture, exercise, and group discussion
Assessment Methods Quiz, exams, assignments
2.1 Mapped to: S1

Use risk management and uncertainty analysis techniques to improve software project outcomes. ?

Teaching Strategy Lecture, Group Projects
Assessment Methods Exams, Assignments, Project
2.2 Mapped to: S2

Conduct cost-benefit and cost-effectiveness analyses to assess software engineering decisions' economic viability. ?

Teaching Strategy Lecture, Group Projects
Assessment Methods Exams, Assignments, Project
2.3 Mapped to: S3

Develop comprehensive business cases and financial models for software projects, incorporating economic analysis and optimization techniques.

Teaching Strategy Lecture, Group Projects
Assessment Methods Exams, Assignments, Project
3.1 Mapped to: V1

Advocate for ethical and sustainable economic practices in software engineering decision-making.

Teaching Strategy Debates on ethical case studies.
Assessment Methods Reflective essays.
3.2 Mapped to: V2

Collaborate in teams to apply economic principles to case studies and real-world software engineering scenarios.

Teaching Strategy Group project
Assessment Methods Group project
Assessment
Weight
Quizzes
15%
Projects
15%
Assignments
10%
Mid Term
20%
Final Exam
40%
Total
100%