浅析当前大学计算机软件工程课程改革

《软件工程》是计算机科学与技术专业软件方向核心课程之一,是指导计算机软件开发和维护的一门综合性课程,是计算机专业学生必须掌握的技能之一,因此,提高软件工程课程的教学质量对学生的今后的学习和工作都具有极其重要的意义。该文结合教学实践,对大学计算机软件工程课程改革进行了探讨。     

浅析当前大学计算机软件工程课程改革

《软件工程》是计算机科学与技术专业软件方向核心课程之一,是指导计算机软件开发和维护的一门综合性课程,是计算机专业学生必须掌握的技能之一,因此,提高软件工程课程的教学质量对学生的今后的学习和工作都具有极其重要的意义。该文结合教学实践,对大学计算机软件工程课程改革进行了探讨。     

高校软件工程实训基地建设之初探

如何提高软件类专业学生动手能力、适应社会需求成为高校教育的一个需要迫切解决的问题,高校与职业技术学院相比,由于培养目的的不同,其软件工程基地也应有所不同。北京工商大学专门建设了多个校级的实践中心,并建立了高起点、宽口径的软件工程实训基地,与计算机学院的软件实验场所相互支持,通过开设实训课程、加强校企合作、组织课外科技活动及竞赛等方式,初步探索出一条成功之路。     

A methodology for the classification of quality of requirements using machine learning techniques

ContextOne of the most important factors in the development of a software project is the quality of their requirements. Erroneous requirements, if not detected early, may cause many serious problems, such as substantial additional costs, failure to meet the expected objectives and delays in delivery dates. For these reasons, great effort must be devoted in requirements engineering to ensure that the project’s requirements results are of high quality. One of the aims of this discipline is the automatic processing of requirements for assessing their quality; this aim, however, results in a complex task because the quality of requirements depends mostly on the interpretation of experts and the necessities and demands of the project at hand.ObjectiveThe objective of this paper is to assess the quality of requirements automatically, emulating the assessment that a quality expert of a project would assess.MethodThe proposed methodology is based on the idea of learning based on standard metrics that represent the characteristics that an expert takes into consideration when deciding on the good or bad quality of requirements. Using machine learning techniques, a classifier is trained with requirements earlier classified by the expert, which then is used for classifying newly provided requirements.ResultsWe present two approaches to represent the methodology with two situations of the problem in function of the requirement corpus learning balancing, obtaining different results in the accuracy and the efficiency in order to evaluate both representations. The paper demonstrates the reliability of the methodology by presenting a case study with requirements provided by the Requirements Working Group of the INCOSE organization.ConclusionsA methodology that evaluates the quality of requirements written in natural language is presented in order to emulate the quality that the expert would provide for new requirements, with 86.1 of average in the accuracy.     

动态规划算法在软件工程管理中的应用

软件工程学科在理论研究和实践应用中都取得了巨大成就，逐渐形成了方法、工具和管理三大要素。然而，这三要素的发展是不均衡的，相对于方法和工具，管理的理论研究和科学应用都显得滞后，已经成为软件工程学科发展的瓶颈问题。软件工程管理的本质是如何在软件工程生命周期的各个阶段最佳地配置人员、资金和时间三种资源，以取得软件质量最优化。它是一个多阶段决策问题．具有动态规划算法中多段图的特点。文中将动态规划算法应用到软件工程管理的决策之中。     

Understanding the characteristics of quality for software engineering processes: A Grounded Theory investigation

ContextSoftware engineering organizations routinely define and implement processes to support, guide and control project execution. An assumption underlying this process-centric approach to business improvement is that the quality of the process will influence the quality, cost and time-to-release of the software produced. A critical question thus arises of what constitutes quality for software engineering processes.ObjectiveTo identify criteria used by experienced practitioners to judge the quality of software engineering processes and to understand how knowledge of these criteria and their relationships may be useful for those undertaking software process improvement activities.MethodInterviews were conducted with 17 experienced software engineering practitioners from a range of geographies, roles and industry sectors. Published reports from 30 software process improvement case-studies were selected from multiple peer-reviewed software journals. A qualitative Grounded Theory-based methodology was employed to systematically analyze the collected data to synthesize a model of quality for software engineering processes.ResultsThe synthesized model suggests that practitioners perceive the overall quality of a software engineering process based on four quality attributes: suitability, usability, manageability and evolvability. Furthermore, these judgments are influenced by key properties related to the semantic content, structure, representation and enactment of that process. The model indicates that these attributes correspond to particular organizational perspectives and that these differing views may explain role-based conflicts in the judgement of process quality.ConclusionConsensus exists amongst practitioners about which characteristics of software engineering process quality most influence project outcomes. The model presented provides a terminological framework that can facilitate precise discussion of software engineering process issues and a set of criteria that can support activities for software process definition, evaluation and improvement. The potential exists for further development of this model to facilitate optimization of process properties to match organizational needs.     

浅谈软件质量度量和软件产品评价

软件质量度量和软件产品评价系列标准是国际标准化组织ISO／IEC JTC1近年来在软件工程标准方面的研究重点之一,对于通过量化手段进行软件产品的度量和评价,规范软件产品的质量管理,这两个系列标准提供了一条可以参考的实施途径。本文在多年跟踪研究国际上软件工程标准和制定软件工程国家标准的基础上,对ISO／IEC JTC1近年推出的ISO／IEC 9126和ISO／IEC 14598系列,以及正在研制的ISO／IEC 25000系列标准进行综合介绍。     

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。     

A family of experiments to investigate the effects of groupware for software inspection

It is widely accepted that the inspection of software artifacts can find defects early in the development process and gather information on the quality of the evolving product. However, the inspection process is resource-intensive and involves tedious tasks, such as searching, sorting, and checking. Tool support for inspections can help accelerating these tasks and allows inspectors to concentrate on tasks particularly needing human attention. Only few tools are available for inspections. We have thus developed a set of groupware tools for both individual defect detection and inspection meetings to lower the effort of inspections and to increase their efficiency. This paper presents the Groupware-supported Inspection Process (GrIP) and describes tools for inspecting software requirements. As only little empirical work exists that directly compares paper-based and tool-based software inspection, we conducted a family of experiments in an academic environment to empirically investigate the effect of tool support regarding defect detection and inspection meetings. The main results of our family of experiments regarding individual defect detection are promising: The effectiveness of inspectors and teams is comparable to paper-based inspection without tool support; the inspection effort and defect overlap decreases significantly with tool support, while the efficiency of inspection teams increases considerably. Regarding tool support for inspection meetings the main findings of the experiments are that tool support considerably lowers the meeting effort, supports inspectors in identifying false positives, and reduces the number of true defects lost during a meeting. The number of unidentified false positives is still quite high.     

基于CDIO理念的教学做一体化软件工程课改构思和实践

软件工程课程的理论抽象性和工程应用性都比较强,本文将CDIO理念的全局意识融入到软件工程课程的教学做一体化实践中,采用了CDIO工程教学模式及融入建构主义教学方法进行教学,全面提高软件工程课程的教学质量和学生的学习效果,并推广到相关其它课程的教学和实践之中。     

Six years of systematic literature reviews in software engineering: An updated tertiary study

Context

Since the introduction of evidence-based software engineering in 2004, systematic literature review (SLR) has been increasingly used as a method for conducting secondary studies in software engineering. Two tertiary studies, published in 2009 and 2010, identified and analysed 54 SLRs published in journals and conferences in the period between 1st January 2004 and 30th June 2008.

Objective

In this article, our goal was to extend and update the two previous tertiary studies to cover the period between 1st July 2008 and 31st December 2009. We analysed the quality, coverage of software engineering topics, and potential impact of published SLRs for education and practice.

Method

We performed automatic and manual searches for SLRs published in journals and conference proceedings, analysed the relevant studies, and compared and integrated our findings with the two previous tertiary studies.

Results

We found 67 new SLRs addressing 24 software engineering topics. Among these studies, 15 were considered relevant to the undergraduate educational curriculum, and 40 appeared of possible interest to practitioners. We found that the number of SLRs in software engineering is increasing, the overall quality of the studies is improving, and the number of researchers and research organisations worldwide that are conducting SLRs is also increasing and spreading.

Conclusion

Our findings suggest that the software engineering research community is starting to adopt SLRs consistently as a research method. However, the majority of the SLRs did not evaluate the quality of primary studies and fail to provide guidelines for practitioners, thus decreasing their potential impact on software engineering practice.     

An assessment of systems and software engineering scholars and institutions (2003-2007 and 2004-2008)

An ongoing, annual survey of publications in systems and software engineering identifies the top 15 scholars and institutions in the field over a 5-year period. Each ranking is based on the weighted scores of the number of papers published in TSE, TOSEM, JSS, SPE, EMSE, IST, and Software of the corresponding period. This report summarizes the results for 2003-2007 and 2004-2008. The top-ranked institution is Korea Advanced Institute of Science and Technology, Korea for 2003-2007, and Simula Research Laboratory, Norway for 2004-2008, while Magne Jørgensen is the top-ranked scholar for both periods.     

A serious game for teaching the fundamentals of ISO/IEC/IEEE 29148 systems and software engineering – Lifecycle processes – Requirements engineering at undergraduate level

In the context of software engineering education, there is a recurrent demand for new approaches and techniques that support the application and transfer of knowledge to real-life situations with the aim of encouraging a more active learning among students. In particular, serious games have recently become an important learning resource for teaching the fundamentals of software process standards at undergraduate level. However, poor effort has been made to create a serious game that supports the teaching of the ISO/IEC/IEEE 29148:2011 Systems and Software Engineering – Lifecycle Processes – Requirements Engineering, an international standard that specifies the required processes that are to be implemented by requirements engineering for systems and software products (including services) throughout the lifecycle. With this in mind, a serious game called “Requengin” has been developed to provide undergraduate students with an interactive learning environment to facilitate the introduction of ISO/IEC/IEEE 29148:2011. The main objective of the game is to strengthen the comprehension and application of the main processes of the standard and some related requirements engineering techniques. Requengin was designed to simulate an academic library where players must apply the requirements engineering processes with the aim of changing the traditional management system by a software system while they receive, at the same time, preliminary training in ISO/IEC/IEEE 29148:2011. The results obtained by empirical evaluation indicate that Requengin could potentially contribute to an improvement in students’ acquisition of knowledge about ISO/IEC/IEEE 29148:2011, while also improving levels of motivation.     

A LEGO Mindstorms NXT approach for teaching at Data Acquisition,Control Systems Engineering and Real-Time Systems undergraduate courses

LEGO Mindstorms NXT robots are being increasingly used in undergraduate courses, mostly in robotics-related subjects. But other engineering topics, like the ones found in data acquisition, control and real-time subjects, also have difficult concepts that can be well understood only with good lab exercises. Such exercises require physical educational tools that should be low cost, easy to configure and use, multi-purpose and motivational for the students, being all of this hard to achieve with a single device. The “classical” solution has been to acquire specific commercial kits for each subject, or even topic, usually proprietary and expensive. Our work extends the already existing alternative of using the LEGO Mindstorms NXT robots as a training platform, but not by imitating the same approach of commercial kits (e.g., to isolate some part of the robot for teaching a particular topic); we rather aim at accomplishing all the mentioned requirements simultaneously. For that purpose, we have used only one out-of-the-box, complete robot configuration, to be shared among different subjects without hardware/software/firmware modifications. This has reduced significantly the effort of a group of professors when preparing exercises, and encouraged the reuse of their work among several topics and subjects. Also, we have collected a number of surveys on students and the professors' experiences. In this paper we describe our approach and present in detail the results, which assess the higher motivational adequacy of using a complete robot in these subjects and also the real fulfillment of the other requirements along several academic years.     

Computer graphics in civil engineering at RPI

The use of interactive computer graphics in civil engineering education at RPI is discussed. Emphasis is placed on how specific software packages are used in courses to increase a student's understanding of basic problem behavior and to reduce the effort required to generate meaningful problem inputs for computer solution.     

A little knowledge about software

Software engineering is still a young discipline. Software development group managers must keep their groups current with this dynamic body of knowledge as it evolves. There are two basic approaches: require staff to have both application expertise and software expertise, or create a software cell. The latter approach runs the risk of two communities not communicating well, although it might make staying abreast of changes in software engineering easier. The first approach should work better than it does today if some new educational patterns are put in place. For example, we could start treating software more like mathematics, introducing more software courses into undergraduate programs in other disciplines. Managers must also focus on the best way to develop software expertise for existing staff. Staff returning to school for a master's in software engineering can acquire a broad understanding of the field, but at a substantial cost in both time and effort. Short courses call help to fill this gap, but most short courses are skill based, whereas a deeper kind of learning is needed. As the first step, however, managers must assess software's impact on their bottom line deliverables. It might surprise them how much they depend on software expertise to deliver their products.     

Web service API recommendation for automated mashup creation using multi-objective evolutionary search

Modern software development builds on external Web services reuse as a promising way that allows developers delivering feature-rich software by composing existing Web service Application Programming Interfaces, known as APIs. With the overwhelming number of Web services that are available on the Internet, finding the appropriate Web services for automatic service composition, i.e., mashup creation, has become a time-consuming, difficult, and error-prone task for software designers and developers when done manually. To help developers, a number of approaches and techniques have been proposed to automatically recommend Web services. However, they mostly focus on recommending individual services. Nevertheless, in practice, service APIs are intended to be used together forming a social network between different APIs, thus should be recommended collectively. In this paper, we introduce a novel automated approach, called SerFinder, to recommend service sets for automatic mashup creation. We formulate the service set recommendation as a multi-objective combinatorial problem and use the non-dominated sorting genetic algorithm (NSGA-II) as a search method to extract an optimal set of services to create a given mashup. We aim at guiding the search process towards generating the adequate compromise among three objectives to be optimized (i) maximize services historical co-usage, (ii) maximize services functional matching with the mashup requirements, and (iii) maximize services functional diversity. We perform a large-scale empirical experiment to evaluate SerFinder on a benchmark of real-world mashups and services. The obtained results demonstrate the effectiveness of SerFinder in comparison with recent existing approaches for mashup creation and services recommendation. The statistical analysis results provide an empirical evidence that SerFinder, significantly outperforms four state-of-the-art widely-used multi-objective search-based algorithms as well as random search.     

Finding conclusion stability for selecting the best effort predictor in software effort estimation

Background: Conclusion Instability in software effort estimation (SEE) refers to the inconsistent results produced by a diversity of predictors using different datasets. This is largely due to the “ranking instability” problem, which is highly related to the evaluation criteria and the subset of the data being used. Aim: To determine stable rankings of different predictors. Method: 90 predictors are used with 20 datasets and evaluated using 7 performance measures, whose results are subject to Wilcoxon rank test (95 %). These results are called the “aggregate results”. The aggregate results are challenged by a sanity check, which focuses on a single error measure (MRE) and uses a newly developed evaluation algorithm called CLUSTER. These results are called the “specific results.” Results: Aggregate results show that: (1) It is now possible to draw stable conclusions about the relative performance of SEE predictors; (2) Regression trees or analogy-based methods are the best performers. The aggregate results are also confirmed by the specific results of the sanity check. Conclusion: This study offers means to address the conclusion instability issue in SEE, which is an important finding for empirical software engineering.     

Automatically propagating changes from reference implementations to code generation templates

ContextCode generators can automatically perform some tedious and error-prone implementation tasks, increasing productivity and quality in the software development process. Most code generators are based on templates, which are fundamentally composed of text expansion statements. To build templates, the code of an existing, tested and validated implementation may serve as reference, in a process known as templatization. With the dynamics of software evolution/maintenance and the need for performing changes in the code generation templates, there is a loss of synchronism between the templates and this reference code. Additional effort is required to keep them synchronized.ObjectiveThis paper proposes automation as a way to reduce the extra effort needed to keep templates and reference code synchronized.MethodA mechanism was developed to semi-automatically detect and propagate changes from reference code to templates, keeping them synchronized with less effort. The mechanism was also submitted to an empirical evaluation to analyze its effects in terms of effort reduction during maintenance/evolution templatization.ResultsIt was observed that the developed mechanism can lead to a 50% reduction in the effort needed to perform maintenance/evolution templatization, when compared to a manual approach. It was also observed that this effect depends on the nature of the evolution/maintenance task, since for one of the tasks there was no observable advantage in using the mechanism. However, further studies are needed to better characterize these tasks.ConclusionAlthough there is still room for improvement, the results indicate that automation can be used to reduce effort and cost in the maintenance and evolution of a template-based code generation infrastructure.     

Engaging the net generation with evidence-based software engineering through a community-driven web database

Software engineering faculty face the challenge of educating future researchers and industry practitioners regarding the generation of empirical software engineering studies and their use in evidence-based software engineering. In order to engage the Net generation with this topic, we propose development and population of a community-driven Web database containing summaries of empirical software engineering studies. We also present our experience with integrating these activities into a graduate software engineering course. These efforts resulted in the creation of “SEEDS: Software Engineering Evidence Database System”. Graduate students initially populated SEEDS with 216 summaries of empirical software engineering studies. The summaries were randomly sampled and reviewed by industry professionals who found the student-written summaries to be at least as useful as professional-written summaries. In fact, 30% more of the respondents found the student-written summaries to be “very useful”. Motivations, student and instructor-developed prototypes, and assessments of the resulting artifacts will be discussed.