Following a brief summary of the background and goals of developments in software engineering, some of the major thrusts in the future of program development and maintenance are discussed. Various national level software initiatives are discussed in this context. This is not a comparative survey of their plans and activities. The central issues addressed relate to the understandability of programming, the reuse of software, and the general problem of working with and improving a program that is already almost the one desired. This is the phase of the process after the system is `90% done', hence the emphasis on the `last 10 percent'.

The broad-band noise performance of a spread spectrum system with frequency hopping and sequentially balanced modulation was analyzed in Part I of this paper. Here, the analysis is extended to include operation In jamming environments and in specular multipath. Bit-error probability and ranging accuracy curves are presented in each case.

A spread spectrum system incorporating sequentially balanced modulation, fast frequency hopping, phase-comparison tone ranging, and pseudoorthogonal block coding of BPSK data is analyzed from the standpoints of bit error performance and ranging accuracy. A tight upper bound analysis incorporates the effect of the limiter present in the system and accounts for nonzero inner products of the signaling alphabet code words. Somewhat simpler approximate expressions are obtained by a novel application of the central limit theorem. Both the upper bound and the approximate analyses are compared with the results of Monte Carlo simulations and experimental data.

A course in debugging techniques is motivated and described. A course outline, reading list, and projects list are included. Certain debugging aids are described. Debugging techniques for elementary algorithms are illustrated. Particular attention is paid to ways to teach debugging and algorithm structure.

Computer and Information Science Departments are usually organized, as was the one at The Ohio State University, by combining already existing courses in computer programming and applications from other departments into one department and adding a few extra courses. This paper is a report concerning how this was done at Ohio State and how the Department has developed since. Suggestions are also included for the organization of new departments at other schools. The report has been arranged in four main sections: a description of the development of the department at Ohio State, a unifying philosophy of the field, a description of the Ohio State undergraduate curriculum in Computer and Information Science, and suggestions for new curricula at other schools.