One big obstacle to undeistanding the nature of hieraichical task network (HTN) planning has been the lack of a clear theoietical framework. In particular, no one has yet presented a clear and concise HTN algorithm th...
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Smith and Wiehagen [9] introduced a model of classification that is similar to the Gold model of learning [2]. The classifier is told that a recursive function f is either in.4 or B. After seeing initial segments of f...
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Current understanding of the effects of damage on neural networks is rudimentary, even though such understanding could lead to important insights concerning neurological and psychiatric disorders. Motivated by this co...
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In order to improve software maintenance processes, we need to be able to first characterize and assess them. This task needs to be performed in depth and with objectivity since the problems are complex. One approach ...
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Suffix trees are the main data-structure in string matching algorithmics. There are several serial algorithms for suffix tree construction which run in linear time, but the number of operations in the only parallel al...
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In a spatial database, an object may extend arbitrarily in space. As a result, many spatial data structures (e.g., the quadtree, the cell tree, the R+-tree) represent an object by partitioning it into multiple, yet si...
ISBN:
(纸本)9780897916745
In a spatial database, an object may extend arbitrarily in space. As a result, many spatial data structures (e.g., the quadtree, the cell tree, the R+-tree) represent an object by partitioning it into multiple, yet simple, pieces, each of which is stored separately inside the data structure. Many operations on these data structures are likely to produce duplicate results because of the multiplicity of object pieces. A novel approach for duplicate processing based on proximity of spatial objects is presented. This is different from conventional duplicate elimination in database systems because, with spatial databases, different pieces of the same object can span multiple buckets of the underlying data structure. Example algorithms are presented to perform duplicate processing using proximity for quadtree representation of line segments and arbitrary rectangles. The complexity of the algorithms is seen to depend on a geometric classification of different instances of the spatial objects. By using proximity and the spatial properties of the objects, the number of disk-I/O requests as well as the run-time storage during duplicate processing can be reduced.
Discusses the three most important facts or myths affecting reuse. There is a great deal of misunderstanding about reuse in the software domain and it is difficult to pick out only three: there has been to much emphas...
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Discusses the three most important facts or myths affecting reuse. There is a great deal of misunderstanding about reuse in the software domain and it is difficult to pick out only three: there has been to much emphasis on the reuse of code; software reuse implies some form of modification of the artifact being reused; and software development processes do not explicitly support reuse, in fact they implicitly inhibit reuse.< >
In order to improve software maintenance processes, we need to be able to first characterize and assess them. This task needs to be performed in depth and with objectivity since the problems are complex. One approach ...
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In order to improve software maintenance processes, we need to be able to first characterize and assess them. This task needs to be performed in depth and with objectivity since the problems are complex. One approach is to set up a measurement program specifically aimed at maintenance. However, establishing a measurement program requires that one understands the issues and is able to characterize the maintenance environment and processes in order to collect suitable and cost-effective data. Also, enacting such a program and getting usable data sets takes time. A short term substitute is needed. We propose a characterization process aimed specifically at maintenance and based on a general qualitative analysis methodology. This process is rigorously defined in order to be repeatable and usable by people who are not acquainted with such analysis procedures. A basic feature of our approach is that maintenance changes are analyzed in order to understand the flaws in the change process. Guidelines are provided and a case study is shown that demonstrates the usefulness of the approach.< >
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