A Reengineering Approach to Reconciling Requirements and Implementation for Context - Aware Web Services Systems

In modern software development, the gap between software requirements and implementation is not always conciliated. Typically, for Web services-based context-aware systems, reconciling this gap is even harder. The aim of this research is to explore how software reengineering can facilitate the reconciliation between requirements and implementation for the said systems. The underlying research in this thesis comprises the following three components. Firstly, the requirements recovery framework underpins the requirements elicitation approach on the proposed reengineering framework. This approach consists of three stages: 1) Hypothesis generation, where a list of hypothesis source code information is generated; 2) Segmentation, where the hypothesis list is grouped into segments; 3) Concept binding, where the segments turn into a list of concept bindings linking regions of source code. Secondly, the derived viewpoints-based context-aware service requirements model is proposed to fully discover constraints, and the requirements evolution model is developed to maintain and specify the requirements evolution process for supporting context-aware services evolution. Finally, inspired by context-oriented programming concepts and approaches, ContXFS is implemented as a COP-inspired conceptual library in F#, which enables developers to facilitate dynamic context adaption. This library along with context-aware requirements analyses mitigate the development of the said systems to a great extent, which in turn, achieves reconciliation between requirements and implementation

A Smart IoT-Aware System For Crisis Scenario Management

In most dangerous events, involving many people in large buildings, rescue workers need to intervene in a timely and targeted manner in order to help most number of people and secure the environments without wasting resources. This work presents an Internet of Things(IoT)-based framework, aiming at monitoring environmental parameters in order to alert rescuers when they exceed some alarm thresholds. A hardware infrastructure driven by a software layer adds flexibility and adaptability to the Complex Event Processing engine and to a rule engine-based reflective middleware that manages and analyzes raw data in conjunction with a knowledge base modeling the application domain

Architecture-based integrated management of diverse cloud resources

Cloud management faces with great challenges, due to the diversity of Cloud resources and ever-changing management requirements. For constructing a management system to satisfy a specific management requirement, a redevelopment solution based on existing management systems is usually more practicable than developing the system from scratch. However, the difficulty and workload of redevelopment are also very high. As the architecture-based runtime model is causally connected with the corresponding running system automatically, constructing an integrated Cloud management system based on the architecture-based runtime models of Cloud resources can benefit from the model-specific natures, and thus reduce the development workload. In this paper, we present an architecture-based approach to managing diverse Cloud resources. First, manageability of Cloud resources is abstracted as runtime models, which could automatically and immediately propagate any observable runtime changes of target resources to corresponding architecture models, and vice versa. Second, a customized model is constructed according to the personalized management requirement and the synchronization between the customized model and Cloud resource runtime models is ensured through model transformation. Thus, all the management tasks could be carried out through executing programs on the customized model. The experiment on a real-world cloud demonstrates the feasibility, effectiveness and benefits of the new approach to integrated management of Cloud resources ? 2014, Chen et al.; licensee Springer.EI11-15

PEMODELAN REQUIREMENTS DALAM MENGKONSTRUKSI PERANGKAT LUNAK SELF-ADAPTIVE

[Id]Mengkonstruksi perangkat lunak self-adaptive sangat berbeda dengan mengkonstruksi perangkat lunak non self-adaptive, hal ini menuntut banyak cara yang harus ditempuh untuk mencapai tujuan tersebut. Salah satunya adalah pada tahapan pemodelan requirements. Pendekatan yang digunakan saat melakukan pemodelan requirements untuk perangkat lunak self-adaptive, tidak cukup hanya menangkap kebutuhan sesuai dengan kondisi systems-as-is. Namun kebutuhan systems-to-be yang berhubungan dengan spesifikasi perilaku, dan kemampuannya untuk menangani perubahan ketika sistem sedang berjalan, merupakan faktor penting yang harus terpenuhi. Makalah ini membahas pemodelan requirements untuk mengembangkan self-adaptive systems, dengan mengintegrasikan pendekatan goal oriented requirements engineering dan feedback loop. Diawali dengan latar belakang, kemudian menguraikan penelitian terkait, dilanjutkan dengan konsep yang diusulkan beserta contoh penerapannya, dan diakhir bahasan kami menguraikan pekerjaan untuk masa depan serta kesimpulan.Kata kunci:Requirements modeling, goal oriented requirements engineering, self-adaptive systems, feedback loop[En]Construction of self-adaptive software is very different with the construction of non-self-adaptive software, its require many ways that must be through to gain these goals. one of them is on the requirement of modelling phase. The approach that used, when conduct modelling requirement is not enough to catch the needs appropriate with as-is system condition, but the requirement of to-be systems that connected with behaviour specification and its ability to handle transformation when system running is an important factor that must be fulfilled. this paper describes requirement modelling to develop self-adaptive systems, with goal oriented engineering integration approach and loop feedback. Started with the background, then untangle related research, continued with proposed concept and its implementation example, and in the last description, we untangle conclusion and our future works.Keywords: Requirements modeling, goal oriented requirements engineering, self-adaptive systems, feedback loo