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Ahamed Jalaldeen

Researcher at IBM

Publications -  29
Citations -  307

Ahamed Jalaldeen is an academic researcher from IBM. The author has contributed to research in topics: Unified Modeling Language & Service-oriented architecture. The author has an hindex of 7, co-authored 29 publications receiving 307 citations.

Papers
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Patent

Method and Apparatus for Service-Oriented Architecture Process Decomposition and Service Modeling

TL;DR: In this article, the authors present techniques for service-oriented process decomposition and service modeling, including identifying meta-data entities, attributes of the meta data entities and relationships between stereotypes of the model, managing the model for creating, modifying and removing modeling artifacts, and creating modeling templates from the metadata model.
Journal ArticleDOI

SOMA-ME: a platform for the model-driven design of SOA solutions

TL;DR: Extensibility, traceability, variation-oriented design, and automatic generation of technical documentation and code artifacts are shown to be some of the properties of the SOMA-ME tool.
Patent

Selectively permitting or denying usage of wearable device services

TL;DR: In this article, the authors proposed a system to select or deny usage of a service available on a mobile device, based on detecting an event associated with the device, current usage parameter(s) of the device are identified and compared to usage parameters indicated by a usage restriction to determine whether the service is to be usable or unusable.
Patent

Service re-factoring method and system

TL;DR: In this paper, a service re-factoring method and system is described, which includes selecting by a computing system, a first service comprising a first name and a first value associated with a first services identification technique.
Patent

System for enhancing business performance

TL;DR: In this paper, a system gathers real-time data about an enterprise over a network, and a user device displays a dashboard showing a component business model map, a heat map, key performance indicators for components, and gradients.