• Some of the articles describe how we can combine informal and formal approaches to requirements engineering, resulting in a more effective technique.
• Some show how experience and efforts between industrial and research organizations were integrated in order to develop and validate new techniques.
• One article demonstrates how integrating research and empirical investigations can produce a much more convincing demonstration of the usefulness of requirements engineering techniques than when only research or empirical data is available.
Betty H.C. Cheng is an associate professor in the Department of Computer Science and Engineering at Michigan State University. Her research and teaching interests include normal methods for software engineering, software development environments, object-oriented analysis and design, embedded systems development, multimedia systems, visualization, and parallel and distributed computing. She is a member of the IEEE; IEEE Computer Society; IEEE TCSE; IEEE Technical Committees for Reusability, Reverse Engineering, Software Engineering Education, Software Reliability Engineering, and Technology Transfer; and ACM, ACM SIGSOFT, and SIGPLAN. She received her BS from Northwestern University and her MS and PhD from the University of Illinois-Urbana Champaign, all in computer science. Contact her at the Dept. of Computer Science and Engineering, Michigan State Univ., 3115 Engineering Building, East Lansing, MI 48824; firstname.lastname@example.org; www.cse.msu.edu/~chengb.
David M. Weiss is director of the Software Production Research Department at Lucent Technologies Bell Laboratories, where he conducts and manages research into methods and processes for improving the efficiency of software production. He has also served as chief technical officer of PaceLine Technologies, a Lucent venture to offer services in the development of software product lines. His research focuses on software engineering, particularly in software development methodologies, software design, software requirements, and software measurement. During his early work in measurement, he created the goal-question-metric paradigm for software measurement. He received a BS in mathematics from Union College and an MS and PhD in computer science from the University of Maryland. Contact him at the Software Production Research Dept., Lucent Technologies Bell Laboratories, IHP 2Z-301, 263 Shuman Blvd., Naperville, IL 60566; email@example.com; www.bell-labs.com/~weiss.