Web applications are an important platform in today's society, which humans rely on to complete daily tasks. Most of the web applications were developed with sophisticated, well-known, and powerful web development frameworks. While these frameworks evolve and grow at exponential rate, it become very complex, challenging to learn and no longer intuitive for web application developers, especially those who are inexperience and amateur. There is a need for a simpler web development framework which is sufficient for contemporary web application development. Pigeon-table is a simple module developed under ngPigeon project with the aim to generate web content, i.e. table using data from MySQL database with a single html tag. Pigeon-table is intuitive and easy to learn as it was developed with the principle “web developer-centred design” in mind. A pilot test was conducted in this study to evaluate the satisfactory level among amateur web application developers towards pigeon-table as nano-framework.

Agent-oriented methodology (AOM) is a comprehensive and unified agent methodology for agent-oriented software development. Although AOM is claimed to be able to cope with a complex system development, it is still not yet determined up to what extent this may be true. Therefore, it is vital to conduct an investigation to validate this methodology. This paper presents the adoption of AOM in developing an agent-oriented video surveillance system (VSS). An intruder handling scenario is designed and implemented through AOM. AOM provides an alternative method to engineer a distributed security system in a systematic manner. It presents the security system at a holistic view; provides a better conceptualization of agent-oriented security system and supports rapid prototyping as well as simulation of video surveillance system. ACM CCS (2012) Classification: Computing methodologies → Artificial intelligence → Distributed artificial intelligence → Intelligent agents Software and its engineering → Software notations and tools → System description languages → System modeling languages

Summary Ontologies play a crucial role in multiagent systems (MASs) development, especially for domain knowledge modeling, interaction specifications, and behavioral aspect representation. Domain‐specific ontologies can be developed in an ad hoc or systematic manner through the incorporation of ontology development steps on the basis of agent‐oriented methodologies. Developing such ontologies, however, is challenging because of the extensive amounts of knowledge and experience required. Moreover, since many ontologies cater for very specific domains, the question arises of whether some can be reused for faster systems development. This paper attempts to answer this question by proposing an ontology pattern classification scheme to allow the reuse of existing ontology knowledge for MAS development. Specifically, ontology patterns relevant to the design problem at hand are identified through the pattern classification scheme. These patterns are then reused and shared among agent software communities during the system development phase. The effectiveness of the proposed approach is validated using a restaurant‐finder MAS case study. Our findings suggest that utilization of the classified ontology patterns reduces development time and complexity when dealing with domain‐specific applications. The scheme also seems useful for software practitioners, where searching and reusing the patterns can easily be done during the analysis, design, and implementation of MAS development.

No abstract