Open Access
Software engineering economics
TLDR
In this paper, the authors provide an overview of economic analysis techniques and their applicability to software engineering and management, including the major estimation techniques available, the state of the art in algorithmic cost models, and the outstanding research issues in software cost estimation.Abstract:
This paper summarizes the current state of the art and recent trends in software engineering economics. It provides an overview of economic analysis techniques and their applicability to software engineering and management. It surveys the field of software cost estimation, including the major estimation techniques available, the state of the art in algorithmic cost models, and the outstanding research issues in software cost estimation.read more
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Software Engineering: A Practitioner's Approach
TL;DR: Software Engineering A Practitioner's Approach recognizes the dramatic growth in the field of software engineering and emphasizes new and important methods and tools used in the industry.
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A spiral model of software development and enhancement
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Principles of Model Checking
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A field study of the software design process for large systems
TL;DR: A layered behavioral model is used to analyze how three of these problems—the thin spread of application domain knowledge, fluctuating and conflicting requirements, and communication bottlenecks and breakdowns—affected software productivity and quality through their impact on cognitive, social, and organizational processes.
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Foundations for the study of software architecture
TL;DR: A model of software architecture that consists of three components: elements, form, and rationale is presented, which provides the underlying basis for the architecture in terms of the system constraints, which most often derive from the system requirements.
References
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A complexity measure
TL;DR: In this paper, a graph-theoretic complexity measure for managing and controlling program complexity is presented. But the complexity is independent of physical size, and complexity depends only on the decision structure of a program.
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A Methodology for Collecting Valid Software Engineering Data
Victor R. Basili,David M. Weiss +1 more
TL;DR: An effective data collection method for evaluating software development methodologies and for studying the software development process is described and results show that data validation is a necessary part of change data collection.