Abstract This article provides a detailed insight into computational approaches for deciphering Bronze Age Aegean and Cypriot scripts, namely, the Archanes script and the Archanes formula, Phaistos Disk, Cretan hieroglyphic (including the Malia Altar Stone and Arkalochori Axe), Linear A, Linear B, Cypro-Minoan, and Cypriot scripts. The unique contributions of this article are threefold: (1) a thorough review of major Bronze Age Aegean and Cypriot scripts and inscriptions, digital data and corpora associated with them, existing computational decipherment methods developed in order to decipher them, and possible links to other scripts and languages; (2) the definition of 15 major challenges that can be encountered in computational decipherments of ancient scripts; and (3) an outline of a computational model that could possibly be used to simulate traditional decipherment processes of ancient scripts based on palaeography and epigraphy. In the context of this article the term decipherment denotes the process of discovery of the language and/or the set of symbols behind an unknown script, and the meaning behind it.

This paper presents Firecrow - a tool for Web application analysis and reuse. The tool's primary function is to support reuse of client-side features, but it can also be used for feature identification, web application slicing, and generation of usage scenarios, i.e. sequences of user actions that cause the manifestation of application behaviors. The tool is in prototype stage and is accessible through a plug-in to the Firefox browser, but it can also be used as a library from other browsers (e.g. Chrome, Safari, and PhantomJs).

Web applications are one of today's fastest growing software systems. Structurally, they are composed of two parts: the server side, used for data access and business logic, and the client side, used as a user interface. In recent years, with developers building complex interfaces, the client side is playing an increasingly important role. Unfortunately, the techniques and tools used to support development are not as advanced as in other disciplines. From the user's perspective, the client side offers a number of features that are relatively easy to distinguish. However, the same cannot be said for their implementation details. This makes the understanding, maintenance, and reuse of code difficult. The goal of the work presented in this paper is to improve reusability, maintainability, and performance of client-side web applications by identifying the code that implements a particular feature. We have evaluated the approach based on three different experiments: extracting features, extracting library functionalities, and page optimization. The evaluation shows that the method is able to identify the implementation details of individual features, and that by extracting the identified code, a considerable reduction in code size and increase in performance can be achieved.

This article presents an agent-based fuzzy cognitive map (ABFCM) developed injecting the concept of multi-agent system (MAS) into the fuzzy cognitive map (FCM). Fuzzy cognitive map is used for qualitative modeling and simulation. Compared to the FCM, the ABFCM enables different inference algorithms in each node enabling simulation of systems with diverse behavior concepts. Each map node can exhibit individual, more or less intelligent, behavior and still can interact with other nodes to conclude on system behavior. Resulting method also enables automatic results interpretation adding additional intelligence to a classic FCM. Explanation of the obtained system architecture with FCM and MAS integration is presented in the article. The experimental results in the article are obtained with the ABFCM prototype, developed on the basis of ABFCM structure given in the article. Multi-agent technology can bring new properties into existing fields and methods, like in the ABFCM case. © 2010 Wiley Periodicals, Inc.

This paper presents phpModeler, a tool for reverse engineering of legacy php web applications that generates static UML diagrams showing resources which the current web page is using, its functions and dependencies it has on other web pages. Once the models describing individual web pages have been generated, phpModeler can analyze them and generate dependency models that for each entity in every page model show all entities dependent on it. phpModeler can also be used to highlight the difference between page models - a feature that, when combined with a SVN repository shows the way how the current web page has evolved over time. phpModeler is a plugin for the Eclipse IDE.