International Conference on Software Metrics and Performance Analysis - (ICSMAPA-27)


29th - 30th June, 2027 | Florida, USA

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

30th May, 2027

Paper Submission Deadline

4th June, 2027

Last Date Of Registration

14th June, 2027

Date Of Conference

29th - 30th June, 2027

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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 12 SDG 12 — Responsible Consumption and Production
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All Session Tracks

Track 01
Advancements in Software Metrics

This track focuses on the latest developments in software metrics, emphasizing innovative measurement techniques that enhance software quality. Researchers are encouraged to present novel approaches that contribute to the understanding and application of software metrics.

Track 02
Performance Analysis Techniques

This session explores various performance analysis techniques applicable to software systems, including benchmarking and runtime performance evaluation. Contributions that demonstrate the effectiveness of these techniques in real-world scenarios are particularly welcome.

Track 03
Software Quality Metrics

This track delves into the critical role of software quality metrics in assessing and improving software products. Papers that investigate new quality indicators and their impact on software development processes are encouraged.

Track 04
Defect Density and Software Reliability

Focusing on defect density analysis, this session aims to uncover relationships between defect rates and software reliability. Submissions that provide empirical studies or theoretical frameworks are highly sought after.

Track 05
Software Maintainability Metrics

This track addresses the importance of maintainability metrics in software engineering, highlighting methods to evaluate and enhance software maintainability. Contributions that propose new metrics or frameworks for maintainability assessment are encouraged.

Track 06
Software Process Metrics

This session investigates the metrics associated with software processes, aiming to improve efficiency and effectiveness in software development. Papers that analyze process metrics in various development methodologies are particularly relevant.

Track 07
Software Size Estimation Techniques

This track focuses on techniques for estimating software size, which is crucial for project planning and resource allocation. Contributions that present novel estimation models or comparative studies of existing techniques are welcome.

Track 08
Complexity Metrics in Software Engineering

This session explores the role of complexity metrics in understanding software systems, including their impact on maintainability and performance. Papers that propose new complexity measures or analyze existing ones are encouraged.

Track 09
Benchmarking Software Productivity

This track examines benchmarking methods for evaluating software productivity across various domains. Contributions that provide insights into effective benchmarking practices and their implications for software engineering are sought.

Track 10
Performance Monitoring Tools

This session focuses on tools and techniques for performance monitoring in software applications, emphasizing their role in identifying bottlenecks and optimizing performance. Papers that present case studies or tool evaluations are particularly welcome.

Track 11
Software Efficiency Evaluation

This track investigates methodologies for evaluating software efficiency, including resource utilization and execution speed. Contributions that propose new evaluation frameworks or metrics are encouraged to enhance the discourse on software efficiency.