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Opinion

From Washington

The American Association for the Advancement of Science (AAAS) has recently passed a resolution opposing “continuing governmental efforts to restrict the communication or publication of unclassified research.” This statement reaffirms an AAAS resolution passed in 1982, which was against “governmental restrictions on the dissemination, exchange, or availability of unclassified knowledge.” According to the AAAS Committee on Scientific Freedom and Responsibility, the second resolution was prompted by what the society considers excessive Administration efforts to prevent export of U.S. technology to Soviet bloc countries. These measures include requesting prepublication review of unclassified technical papers, inhibiting communication of unclassified scientific research in university classrooms and research laboratories, limiting foreign student access to university research projects and results, censoring technical papers at professional society meetings, and restricting otherwise unclassified meetings to U.S. citizens.
Research and Advances

Hardware protection against software piracy

A system that prevents illicit duplication of proprietary software is suggested. It entails the customization of the programs for each computer by encryption. The use of a public key cryptogram for this purpose means that anyone can customize programs, but neither other programmers nor the people having complete access to the target computer can obtain copies that will run on other machines. A possible implementation of the system is considered in some detail. It is based on a hardware security unit that is attached to the computer and that decrypts and obeys some parts of the program.
Research and Advances

Memory occupancy patterns in garbage collection systems

Some programming languages and computer systems use dynamic memory allocation with garbage collection. It would be useful to understand how the utilization of memory depends on the stochastic parameters describing the size and life distributions of the cells. We consider a class of dynamic storage allocation systems which use a first-fit strategy to allocate cells and perform noncompacting garbage collections to recover free memory space when memory becomes fully occupied. A formula is derived for the expected number of holes (available cells) in memory immediately following a garbage collection which specializes to an analogue of Knuth's 'Fifty Percent' rule for nongarbage-collection systems. Simulations confirm the rule for exponentially distributed cell lifetimes. Other lifetime distributions are discussed. The memory-size requirements for noncompacting garbage collection are also analyzed.
Research and Advances

Determinants of program repair maintenance requirements

Considerable resources are devoted to the maintenance of programs including that required to correct errors not discovered until after the programs are delivered to the user. A number of factors are believed to affect the occurrence of these errors, e.g., the complexity of the programs, the intensity with which programs are used, and the programming style. Several hundred programs making up a manufacturing support system are analyzed to study the relationships between the number of delivered errors and measures of the programs' size and complexity (particularly as measured by software science metrics), frequency of use, and age. Not surprisingly, program size is found to be the best predictor of repair maintenance requirements. Repair maintenance is more highly correlated with the number of lines of source code in the program than it is to software science metrics, which is surprising in light of previously reported results. Actual error rate is found to be much higher than that which would be predicted from program characteristics.
Research and Advances

The weighted median filter

The median filter is well-known [1, 2]. However, if a user wishes to predefine a set of feature types to remove or retain, the median filter does not necessarily satisfy the requirements. A more general filter, called the Weighted Median Filter, of which the median filter is a special case, is described. It enables filters to be designed with a wide variety of properties. Particular cases of filter requirements are discussed and the corresponding filters are derived. The notion of a minimal weighted median filter, of a subclass that act identically, is introduced and discussed. The question of finding the number of distinct ways a class of filters can act is considered and solved for some classes.
Opinion

From Washington

We are entering a new era in very high performance computing that will be dominated by parallel architectured systems. It is critical for the United States to maintain its leadership as this new era, with its broadened applications, evolves over the next decade. Toward this end the National Science Foundation sponsored a workshop in November 1983 to focus the collective strength of universities, industry, and government on projects for development of knowledge-intensive industries.
Research and Advances

Training wheels in a user interface

New users of high-function application systems can become frustrated and confused by the errors they make in the early stages of learning. A training interface for a commercial word processor was designed to make typical and troublesome error states “unreachable,” thus eliminating the sources of some new-user learning problems. Creating a training environment from the basic function of the system itself afforded substantially faster learning coupled with better learning achievement and better performance on a comprehension post-test. A control group spent almost a quarter of their time recovering from the error states that the training interface blocked off. We speculate on how this training strategy might be refined, and more generally, on how function should be organized in a user interface.
Research and Advances

A null-object detection algorithm for constructive solid geometry

Constructive solid geometry (CSG) is the primary scheme used for representing solid objects in many contemporary solid modeling systems. A CSG representation is a binary tree whose nonterminal nodes represent Boolean operations and whose terminal nodes represent primitive solids. This paper deals with algorithms that operate directly on CSG representations to solve two computationally difficult geometric problems—null-object detection (NOD) and same-object detection (SOD). The paper also shows that CSG trees representing null objects may be reduced to null trees through the use of a new concept called primitive redundancy, and that, on average, tree reduction can be done efficiently by a new technique called spatial localization. Primitive redundancy and spatial localization enable a single complex instance of NOD to be converted into a number of simpler subproblems and lead to more efficient algorithms than those previously known.
Research and Advances

Audit trail compaction for database recovery

Total elapsed recovery time from disk-based database corruption can be shortened by reprocessing the audit trail off-line and thereby avoiding excessive resource utilization penalties. Using a bit map, the audit trail is compacted by eliminating irrelevant or superseded records. The compacted trail is then partitioned, and the partitions are processed in parallel.

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