DRAMA: A framework for domain requirements analysis and modeling architectures in software product lines

One of the benefits of software product line approach is to improve time-to-market. The changes in market needs cause software requirements to be flexible in product lines. Whenever software requirements are changed, software architecture should be evolved to correspond with them. Therefore, domain architecture should be designed based on domain requirements. It is essential that there is traceability between requirements and architecture, and that the structure of architecture is derived from quality requirements. The purpose of this paper is to provide a framework for modeling domain architecture based on domain requirements within product lines. In particular, we focus on the traceable relationship between requirements and architectural structures. Our framework consists of processes, methods, and a supporting tool. It uses four basic concepts, namely, goal based domain requirements analysis, Analytical Hierarchy Process, Matrix technique, and architecture styles. Our approach is illustrated using HIS (Home Integration System) product line. Finally, industrial examples are used to validate DRAMA.     

一种抗合谋攻击的基于身份的门限签名方案

基于Paterson签名方案和分布式密钥生成协议,提出了一个新的基于身份的门限签名方案。该方案能有效抵抗合谋攻击和伪造签名攻击,并能实现签名成员的可追查性。无需可信中心参与,群签名成员共同生成群公钥和秘密分发群签名密钥。在标准模型下,该方案是健壮的和对适应性选择消息攻击是不可伪造的。     

基于PML结构文件的MapReduce算法优化*

针对目前物联网和云计算技术结合后,物联网RFID产生的小型数据致使云计算中MapReduce算法产生运算瓶颈问题进行了研究。运用PML和EPC编码技术保证了数据存储的完整,采用快速排序和改进XGrind压缩技术对于MapReduce算法进行优化。由实验获得,优化后MapReduce算法减小64%的I/O吞吐和45%的CPU耗用,同时使查询数据效率提高75%,可改善查询物联网获取的海量信息的效能。最终通过对云计算下MapReduce算法的优化,为云计算下的物联网追溯平台数据高效使用提供了技术支撑。     

基于物联网的猪肉产品质量安全监管与溯源系统

我国是猪肉产品生产与消费大国。在分析了影响我国猪肉产品质量安全的主要因素之后,针对猪肉产品质量安全监管技术落后、方法单一、信息化水平低、效果差等问题,设计并实现了基于物联网技术和RFID技术的猪肉产品质量安全监管与溯源系统。首先阐述了系统的功能设计,接着介绍了系统网络架构设计与软件架构设计,然后讨论了猪肉产品追溯编码体系设计。在佛山中南农产品交易中心的应用结果表明,该系统能有效提高猪肉产品质量安全监管的成效。     

Design-code traceability recovery: selecting the basic linkage properties

Traceability ensures that software artifacts of subsequent phases of the development cycle are consistent. Few works have so far addressed the problem of automatically recovering traceability links between object-oriented (OO) design and code entities. Such a recovery process is required whenever there is no explicit support of traceability from the development process. The recovered information can drive the evolution of the available design so that it corresponds to the code, thus providing a still useful and updated high-level view of the system.

Automatic recovery of traceability links can be achieved by determining the similarity of paired elements from design and code. The choice of the properties involved in the similarity computation is crucial for the success of the recovery process. In fact, design and code objects are complex artifacts with several properties attached. The basic anchors of the recovered traceability links should be chosen as those properties (or property combinations) which are expected to be maintained during the transformation of design into code. This may depend on specific practices and/or the development environment, which should therefore be properly accounted for.

In this paper different categories of basic properties of design and code entities will be analyzed with respect to the contribution they give to traceability recovery. Several industrial software components will be employed as a benchmark on which the performances of the alternatives are measured.     

A trace metamodel proposal based on the model driven architecture framework for the traceability of user requirements in data warehouses

The complexity of the data warehouse (DW) development process requires to follow a methodological approach in order to be successful. A widely accepted approach for this development is the hybrid one, in which requirements and data sources must be accommodated to a new DW model. The main problem is that we lose the relationships between requirements, elements in the multidimensional (MD) conceptual models and data sources in the process, since no traceability is explicitly specified. Therefore, this hurts requirements validation capability and increases the complexity of Extraction, Transformation and Loading processes. In this paper, we propose a novel trace metamodel for DWs and focus on the relationships between requirements and MD conceptual models. We propose a set of Query/View/Transformation rules to include traceability in DWs in an automatic way, allowing us to obtain a MD conceptual model of the DW, as well as a trace model. Therefore, we are able to trace every requirement to the MD elements, further increasing user satisfaction. Finally, we show the implementation in our Lucentia BI tool.     

Food fraud: An exploratory study for measuring consumer perception towards mislabeled food products and influence on self-authentication intentions

The present study explores the concept of mistrust in country of origin information and the use of technology by consumers to corroborate information on food labels. Despite the plethora of food studies on trust conveyed by different sources, there appears to be a lack of studies exploring consumers' willingness to substantiate information on food labels, more specifically country of origin, and how it is influenced by mistrust. A self-administered survey was conducted in the city of Innsbruck, Austria, to evaluate the relationship between mistrust and the willingness to use technology and verify food label information in food stores. This present study suggests that mistrust towards industry and/or regulators in general augments consumers' willingness to self-authenticate. Findings also suggest that highly educated consumers are more likely to distrust the information on food labels, and are more willing to use a device to validate food label content. Expected results suggest that consumers who read labels on a regular basis expressed a higher willingness to self-authenticate, and that women are more likely to read labels than men. Limitations of the study are presented; theoretical significance and practical implications of the findings are also discussed.     

Spatio-temporal variability in the fatty acid profile of the adductor muscle of the common cockle Cerastoderma edule and its relevance for tracing geographic origin

The present study aimed to identify the potential existence of spatio-temporal variability in the fatty acid (FA) profile of the adductor muscle (AM) of a commercially important bivalve, the common cockle Cerastoderma edule, and determine if such variability can be used to trace their geographic origin post-harvesting. Common cockles were sampled in eight ecosystems along the coast of mainland Portugal, as well as in two different channels within one of those ecosystems over two consecutive years. Results showed significant differences in FA profiles among ecosystems, namely due to different levels of eicosapentaenoic acid (EPA; 20:5n-3), arachidonic acid (20:4n-6), ratio of polyunsaturated FA (PUFA) n-3/n-6, monounsaturated FA (MUFA; 18:1n-9 and 20:1n-9/11) and bacterial FA (15:0, 17:0 and 18:1n-7). FA profiles also displayed significant differences between two consecutive years in channels from the same ecosystem. Overall, while the FA profile displayed by the AM of C. edule can be successfully used to trace their geographic origin, the existence of temporal variability requires a periodical verification of FA signatures to identify potential shifts, namely when comparing specimens from the same ecosystem.