This paper is an experience report on a first attempt to develop and apply a new form of software: a full-service empirical testbed designed to evaluate alternative software dependability technologies, and to accelerate their maturation and transition into project use. The SCRover testbed includes not only the specifications, code, and hardware of a public safety robot, but also the package of instrumentation, scenario drivers, seeded defects, experimentation guidelines, and comparative effort and defect data needed to facilitate technology evaluation experiments. The SCRover testbed's initial operational capability has been recently applied to empirically evaluate two architecture definition languages (ADLs) and toolsets, Mae and AcmeStudio. The testbed evaluation showed (1) that the ADL-based toolsets were complementary and cost-effective to apply to mission-critical systems; (2) that the testbed was cost-effective to use by researchers; and (3) that collaboration in testbed use by researchers and the Jet Propulsion Laboratory (JPL) project users resulted in actions to accelerate technology maturity and transition into project use. The evaluation also identified a number of lessons learned for improving the SCRover testbed, and for development and application of future technology evaluation testbeds.
['Barry W. Boehm', 'Jesal Bhuta', 'David Garlan', 'Eric Gradman', 'LiGuo Huang', 'Alexander Lam', 'Raymond J. Madachy', 'Nenad Medvidovic', 'Kenneth N. Meyer', 'Steven Meyers', 'Gustavo Pérez', 'Kirk Reinholtz', 'Roshanak Roshandel', 'Nicolas Rouquette']
Using empirical testbeds to accelerate technology maturity and transition: the SCRover experience