软件工程课程教学改革的探索与思考

是计算机及相关专业必修的一门课程,很多学校在按照计算机科学方向进行讲解,其结果是学生很难理解软件工程的真正内涵所在。本文结合高等院校计算机专业软件工程课程的教学。从教学内客、教学模式、实验环节等方面考察分析了课程教学中存在的问题,并对软件工程的教学改革提出了若干建议。     

软件工程课程双语教学的研究与探讨

针对软件工程课程的特点,首先分析了现有教学模式下存在的问题,指出软件工程双语教学的主要目的,接着从双语教材、课时分配、教学方式与方法等方面来分析研究提高软件工程课程双语教学质量,最后提出了对软件工程实践教学的思考。     

高校软件工程专业人才培养模式探索

针对软件工程人才培养问题,以武汉工程大学软件工程专业为例,分析当前高校中软件工程专业人才培养模式普遍存在的问题,提出"3E"(软件工程+英语+IT企业)软件工程培养方案,同时从课程体系设置、教学模式、师资队伍建设、实训基地的建设等方面,论证该方案的可行性和实施的必要性。     

软件工程监理质量控制体系构建研究

在软件工程监理体系中,主要从质量、成本、控制等方面来解决软件工程所遇到的问题,从而保证软件工程工作顺利完成。目前,软件工程监理工作开始逐渐被认可,是软件工程构建体系的主要发展趋势。本文主要以研究软件工程监理体系构建为基本出发点,进一步分析软件工程中质量、成本、控制等内容的工作方法与工作要求。     

安全智体和智体群落研究

1 引言计算机信息的安全日益受到关注,虽然加密、认证、访问控制等安全技术已经比较成熟,但信息安全问题仍然很严重。实际上,有了信息安全技术并不意味着解决了信息安全问题,很多安全漏洞是在软件开发时产生的。必须把软件工程技术和安全技术结合起来,通过更好的软件工程过程来保证系统的安全性。智体理论和技术为分布式开放系统的分析、设计和实现提供了新的方法。智体的概念更贴近现实世界,使用智体来分析、设计、模仿和实现现实世界中的系统,无论从概念上,还是从结构上.都更加清晰和容易。虽然不能说面向智体的软件工程适合任何环境,但它的确有希望成为面向对象之后的新一代软件工程方法。     

新发展机遇下软件工程教学模式探索与革新

软件工程是一门理论性和实践性都很强的课程,结合作者从事软件工程教学和科研的实际体会,从软件工程课程的教学现状分析出发,对软件工程教学方法与手段的改进、加强实践教学环节等方面进行了教学改革的实践探讨。     

软件工程课程教学改革与探讨

软件工程是一门理论性和实践性都很强的课程,结合作者从事软件工程教学和科研的实际体会,从软件工程课程的教学现状分析出发,对软件工程教学方法与手段的改进、加强实践教学环节等方面进行了教学改革的实践探讨。     

高职高专软件工程课程教学改革的探索

本文结合软件工程学科的特点,分析了软件工程教学的现状,指出了高职院校软件工程课程教学中存在的若干不足之处,探讨了软件工程课程教学改革的发展方向。从培养目标、课程内容结构的整合、教学模式的改进、教师队伍建设等方面对软件工程的教学作了分析与思考,为今后的软件工程教学提出进一步的设想。     

软件工程课程教学的研究与实践

为适应IT行业的人才需求,在对软件工程课程教学中存在的问题进行分析的基础上,从软件工程的课程教学体系、教学内容的更新、教学模式、课程教学资源建设、加强实践环节及课程考核等方面进行了教学改革的实践探索。     

面向能力培养的软件工程专业教学质量保障体系构建

针对高校教学质量管理调研过程中的问题,笔者以软件工程专业为例,从机构设置、教师和学生的管理、教学评价等方面出发,提出了面向能力培养的软件工程专业教学质量保障体系构建方案,对提高软件工程专业学生的实践能力、提高教学质量起到了积极作用。     

软件工程方法在高校教学管理系统中的应用

针对CEMIS应用软件开发中存在的问题,比较了传统的软件工程方法学和面向对象的软件工程方法学的优劣。论述了如何将面向对象的软件工程方法的思想应用到CEMIS系统应用软件的开发中,用面向对象的软件工程的方法指导软件开发,并给出了相应的需求模型和模型分析。     

Scaling down is hard to do [software management]

Software engineering originally had to cope with large-scale problems. Although programming environments have evolved to support small groups, software management methods have not. The main problem is that management practices designed for large departments are inefficient for smaller ones. It's interesting that, although we recognize the limits of scaling in hardware, we ignore such limits in software management. Although many software engineering methods have proved valuable, the totality of these methods has not been proved optimal for small groups. Scaling down is not simple and it has clear limits. Methods that have too much overhead for their relative benefits are ultimately unsustainable. This is the central problem with scaling down large, formal communication-laden systems. We can scale a method only if we can apply it to differently sized problems without fundamentally changing it - and for many methods, it is unclear whether this is possible. We must study the development needs of smaller groups to create methods that work for them     

软件工程专业教学改革研究

作为计算机领域迅猛发展的软件工程学科,如何设置并优化专业课程体系与教学计划、改进教学方法,以培养出满足社会即时需求、具有较强动手能力、具有创新意识的实践型软件工程人才,一直是软件工程专业所面临的问题。为此,以社会需求为导向,我们建立了软件工程专业课程多层次体系,建立了新的实践环节多层次体系,课程体系与实践环节体系互为支撑、互为补充,为培养学生自主学习能力和创新性思维能力打下坚实基础;还建立了软件工程专业教育平台,从特色专业教育、专业人才培养、实训平台、精品课程、远程辅导等多方面为本专业学生提供网络学习、实训、就业等资源。     

面向Agent软件开发方法的评估

面向Agent的软件开发在构建复杂系统中具有明显的优势,但当前没有建立面向Agent系统的统一方法,缺乏必要的软件工程环境提供支持.分析了基于Agent的应用程序的优点,提出了其适用领域,通过对多个方法学的分析提出了构成Agent系统所必需的属性.     

Application of Metamodel Inference with Large-Scale Metamodels

In software engineering, new technologies and methodologies have been developed with the aim of simplifying the software development process and improving software productivity. Model-driven engineering is considered as one potential alternative to the classical code-based approach to software development. A current challenge in model-driven engineering is the model evolution problem, which is focused on maintaining the relationships among modeling artifacts in the presence of change. A variety of model-driven technologies have been widely researched and applied both in academia and industry to address the model evolution problem. Reverse engineering technologies have been applied in many areas including software engineering to address issues of software evolution. This paper describes one application of reverse engineering, using an approach that uses Metamodel Inference from Models (MIM) to address a specific aspect of the model co-evolution problem related to metamodel evolution. In order to illustrate the problem clearly, a set of examples are used to present our experimental results from applying MIM on diverse industry-focused domains.     

Enhancing the OPEN Process Framework with service-oriented method fragments

Service orientation is a promising paradigm that enables the engineering of large-scale distributed software systems using rigorous software development processes. The existing problem is that every service-oriented software development project often requires a customized development process that provides specific service-oriented software engineering tasks in support of requirements unique to that project. To resolve this problem and allow situational method engineering, we have defined a set of method fragments in support of the engineering of the project-specific service-oriented software development processes. We have derived the proposed method fragments from the recurring features of 11 prominent service-oriented software development methodologies using a systematic mining approach. We have added these new fragments to the repository of OPEN Process Framework to make them available to software engineers as reusable fragments using this well-known method repository.     

软件工程知识的显著复用影响因素识别方法

软件工程领域的知识复用,有助于改进软件过程整体实施的质量。选用高适用度的软件工程知识,能够为软件项目开发构造坚实的实施基础。情形是软件工程知识得以共享和复用的重要基础。然而,一方面,当前软件工程知识复用涉及众多实际情形因素;另一方面软件工程知识已经呈现出丰富、多样化的事态。选用高适用的软件工程知识的一个复杂性问题是如何确定影响其复用效果的显著情形要素。为缓解此问题,研究了一种基于统计学的软件工程知识的显著复用影响因素识别方法,用以识别软件工程知识适用性的关键情形因素。首先归纳了相关的数学概念,提出了复用影响显著性系数判定的两种指标;然后提出了利用统计数据度量两种指标的度量计算方法以及在此基础上求解显著情形要素权重的计算方法;最后将这种方法应用在原型法知识复用影响因素的识别问题上,应用结果表明这种方法具有较好的可操作性及实用性。     

Engineering a software tool for gene structure prediction in higher organisms

The research area now commonly called ‘bioinformatics’ has brought together biologists, computer scientists, statisticians, and scientists of many other fields of expertise to work on computational solutions to biological problems. A large number of algorithms and software packages are freely available for many specific tasks, such as sequence alignment, molecular phylogeny reconstruction, or protein structure determination. Rapidly changing needs and demands on data handling capacity challenge the application providers to consistently keep pace. In practice, this has led to many incremental advances and re-writing of code that present the user community with confusing options and a large overhead from non-standardized implementations that need to be integrated into existing work flows. This situation gives much scope for contributions by software engineers. In this article, we describe an example of engineering a software tool for a specific bioinformatics task known as spliced alignment. The problem was motivated by disabling limitations in an original, ad hoc, and yet widely popular implementation by one of the authors. The present collaboration has led to a robust, highly versatile, and extensible tool (named GenomeThreader) that not only overcomes the limitations of the earlier implementation but greatly improves space and time requirements.     

Development of Software Engineering: A Research Perspective

In the past 40 years, software engineering has emerged as an important sub-field of computer science and has made significant contribution to the software industry. Now it is gradually becoming a new independent discipline. This paper presents a survey of software engineering development from a research perspective. Firstly, the history of software engineering is reviewed with focus on the driving forces of software technology, the software engineering framework and the milestones of software engineering development. Secondly, after reviewing the past academic efforts, the current research activities are surveyed and new challenges brought by Internet are analyzed. Software engineering researches and activities in China are also reviewed. The work in Peking University is described as a representative.