Lecture Notes in Computer Science

The experimental paradigm in software engineering.- Profile of an artifact assessment capability.- Experiments and measurements for systems integration.- Software engineering still on the way to an engineering discipline.- Problems in modeling the software development process as an adventure game.- Qualitative techniques and tools for measuring, analyzing, and simulating software processes.- On experimental Computer Science.- Session 1 summary the experimental paradigm in software engineering.- Objectives and context of software measurement, analysis and control.- Position paper.- Software Engineering as an organisational challenge.- Quantitative measurements based on process and context models.- Selecting, implementing, and measuring methods to improve the software development process.- Rethinking measurement to support incremental process improvement.- Session 2 summary objectives and context of measurement/experimentation.- Software measurement and experimentation frameworks, mechanisms, and infrastructure.- Towards well-defined, shareable product data.- A view on the use of three research philosophies to address empirically determined weaknesses of the software engineering process.- Bridging the gap between research and practice in software engineering management: Reflections on the staffing factors paradox.- A methodology for evaluating software engineering methods and tools.- Experimental software engineering should concentrate on software evolution.- Yet another laboratory for software engineering.- An axiomatic model for program complexity.- Support of experimentation by measurement theory.- Session 3 summary procedures and mechanisms for measurement/experimentation.- Task-specific utility assessment models and their role in the development of software engineering handbooks.- Quantitative empirical modeling for managing software development: Constraints, needs and solutions.- Software business, concurrent engineering and experience factory relationships.- Establishing the fundamentals of software engineering.- Measurement-based modelling issues - the problem of assuring ultra-high dependability.- The role of simulation in software engineering experimentation.- Multiple viewpoints of software models.- Session 4 summary [Measurement-based] modeling.- Software engineering models, using and reusing.- Model reuse and technology transfer.- Packaging for reuse and reuse of models.- A reuse culture for software construction.- Experimental software engineering; Packaging for reuse.- Experimental designs for validating metrics and applying them across multiple projects.- Session 5 summary packaging for reuse.- Position paper.- Technology transfer.- Systematic software technology transfer.- Effective use of measurement and experimentation in computing curricula.- Session 6 summary technology transfer, teaching and training.