Developing Sustainable and Energy-Efficient Software Systems

Preface
Contents
1 Concept and Principles of Measurement
	1.1 Definitions
	1.2 Meaning and Advantages
	1.3 Representation Condition
	1.4 Measurement Characteristics
	1.5 Kinds of Metrics
	1.6 Measurement Scales
	1.7 Software Metrics
		1.7.1 Lines of Code (LOC)
		1.7.2 Cyclomatic Complexity
		1.7.3 Fan In and Fan Out
		1.7.4 Maintainability Index (MI)
		1.7.5 Quality Metrics
			1.7.5.1 Product Quality Metrics
			1.7.5.2 Process Quality Metrics
	1.8 Rationale for Noninvasive Measurement
	1.9 Conclusion
2 Metrics of Sustainability and Energy Efficiency of Software Products and Process
	2.1 Early-Phase Metrics
	2.2 Late-Phase Metrics
	2.3 Metrics of Energy Consumption
	2.4 Conclusion
3 System Energy Consumption Measurement
	3.1 Introduction
	3.2 Energy Measurements Methods
		3.2.1 Hardware Tools
		3.2.2 Software Tools
		3.2.3 Hybrid Tools
	3.3 The Challenges of Estimating the Consumed Energy in Software Development
	3.4 Machine Learning-Based Approach for Energy Consumption Measurement
		3.4.1 Methodology
		3.4.2 Data Collection
		3.4.3 Data Preprocessing
		3.4.4 Machine Learning Models
		3.4.5 Performance Evaluation
		3.4.6 Experimental Results
	3.5 Conclusion
4 GQM and Recommender System for Relevant Metrics
	4.1 Introduction
	4.2 Concept of Goal-Question-Metric
	4.3 The Goal-Question-Metric Process
	4.4 Recommender Systems
	4.5 Metrics Recommender
		4.5.1 Dataset
		4.5.2 Preprocessing
		4.5.3 Recommender Algorithm
		4.5.4 Conclusion
5 Metrics Representation and Dashboards
	5.1 Literature Review
		5.1.1 Review of Literature on Dashboards
		5.1.2 Types of Dashboards
		5.1.3 Purposes/Objectives of Dashboards
		5.1.4 Visualization Methods of Dashboards
	5.2 Methodology and Implementation
		5.2.1 Innometrics Project
		5.2.2 Visualization for Developers
		5.2.3 Visualization for Managers
		5.2.4 Common Visual and Functional Features
		5.2.5 Architecture, Implementation
		5.2.6 Conclusion
6 Architecture of AISEMA System
	6.1 Data Collectors
		6.1.1 Quality Attributes
		6.1.2 Features
		6.1.3 Internal Design
			6.1.3.1 Graphic Interface
			6.1.3.2 Data Collectors
			6.1.3.3 Persistence Layer and API Controller
	6.2 Backend System
		6.2.1 Quality Attributes
		6.2.2 Features
		6.2.3 Internal Design
			6.2.3.1 Main Server
			6.2.3.2 Database
			6.2.3.3 External Agents
	6.3 Conclusion
References