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121.
Classes are key software components in an object-oriented software system. In many industrial OO software systems,there are some classes that have complicated structure and relationships. So in the processes of software maintenance,testing,software reengineering,software reuse and software restructure,it is a challenge for software engineers to understand these classes thoroughly. This paper proposes a class comprehension model based on constructivist learning theory,and implements a software visualization tool(MFV-Class)to help in the comprehension of a class. The tool provides multiple views of class to uncover manifold facets of class contents. It enables visualizing three object-oriented metrics of classes to help users focus on the understanding process. A case study was conducted to evaluate our approach and the toolkit. 相似文献
122.
Germany is one of few countries in which the monetary compensation for inventors is not only determined by negotiations between employer and employee-inventor, but also by relatively precise legal provisions. In this paper, we describe the characteristics of the German Employees’ Inventions Act (GEIA) and discuss which incentives it creates. We rely on responses from a recent survey of 3350 German inventors to test hypotheses regarding this institution. We conclude from our data that the law creates substantial monetary rewards for productive inventors. The qualitative responses from our survey confirm this view, but also point to a number of dysfunctional effects. 相似文献
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多媒体教学系统的创作 总被引:8,自引:1,他引:7
为配合多媒体技术的广泛应用,本文介绍了开发多媒体课程教学系统的设计和制作方法。 相似文献
125.
社会交往的特征及其精神生产力功能 总被引:1,自引:0,他引:1
陈凤敏 《河南师范大学学报(哲学社会科学版)》2004,31(4):95-97
长期以来,学术界往往把人与人之间的社会交往仅仅归之于生产关系,而很少重视其生产力功能。实际上,交往作为一种社会实践活动不论从物质层面还是从精神层面上说都具有生产力功能。本文运用马克思主义的社会交往理论,主要从精神交往这个层面上就社会交往在语言传播、文明成果延续共享、促进人类社会发展等方面论述了社会交往的精神生产力功能,从而突出了现代社会交往所具有的空前重要的生产力意义。 相似文献
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《Information processing & management》2023,60(5):103476
Log parsing is a critical task that converts unstructured raw logs into structured data for downstream tasks. Existing methods often rely on manual string-matching rules to extract template tokens, leading to lower adaptability on different log datasets. To address this issue, we propose an automated log parsing method, PVE, which leverages Variational Auto-Encoder (VAE) to build a semi-supervised model for categorizing log tokens. Inspired by the observation that log template tokens often consist of words, we choose common words and their combinations to serve as training data to enhance the diversity of structure features of template tokens. Specifically, PVE constructs two types of embedding vectors, the sum embedding and the n-gram embedding, for each word and word combination. The structure features of template tokens can be learned by training VAE on these embeddings. PVE categorizes a token as a template token if it is similar to the training data when log parsing. To improve efficiency, we use the average similarity between token embedding and VAE samples to determine the token type, rather than the reconstruction error. Evaluations on 16 real-world log datasets demonstrate that our method has an average accuracy of 0.878, which outperforms comparison methods in terms of parsing accuracy and adaptability. 相似文献
130.
基于软件工程的网络教育资源开发流程构建 总被引:2,自引:0,他引:2
根据软件工程方法论和建构学习主义理论来设计与开发网络教育资源,旨在建立起适应网络教育和远程教育快速发展步伐的网络教育资源开发的一般流程模型,引导设计者和开发者以专业化方式合作开发高质量的网络教育资源。 相似文献