Salman Ahmed

Foged Energy Optimization in Smart Homes

In this paper, Smart Grid (SG) efficiency is improved by introducing Cloud-based environment. To access the services and hostage of cloud large number of requests are entertained from Smart Homes (SHs). These SHs exists in clusters of smart buildings. When the number of requests increase, delay, latency and response time also increase. To overcome these issues, Fog is introduced, which act as an intermediate layer between the cloud and consumer. Five Micro Grids (MGs) are attached to each cluster of the smart building to manage its requests. By using Fog base environment, the delay and latency decreases. The response time also increases with less processing time. To handle the load on cloud different load balancing algorithms and service broker policies exist. In order to manage the load, Honey Bee (HB) is implemented. HB is compared with existing algorithm Round Robin (RR). It gives better results than RR.

A Systematic Literature Review of Success Factors and Barriers of Agile Software Development

Motivator and demotivator plays an important role in software industry. It encompasses software performance and productivity which are necessary for projects of Agile software development (ASD). Existing studies comprise of motivators and demotivators of ASD, which exist in dispersed form. That is why there is a need of a detailed systematic literature review to review the factors and sub-factors effecting motivators and demotivators in ASD. A comprehensive review is executed to gather the critical success factors of motivator and demotivator of Agile software development. Thus, the ongoing study classifies motivator and demotivator factors into four classes, i.e., people, organization, technical and process. However, sub-classification is also executed to clarify more of the motivators of agile. Along with this, motivator and demotivator of scrum process is also categorized to overview a clear vision.

Evaluation for Feature Driven Development Paradigm in Context of Architecture Design Augmentation and Perspective Implications

Agile is a light weight software development methodology that is useful for rapid application development which is the need of current software industry. Since the focus of agile software development is the customer but it does not provide the detailed information about the application’s architecture and documentation, so software architecture has its own benefits and use of it has many positive effects. The focus of this paper is to provide a systematic mapping of emerging issues in feature driven development that arises due to lack of architecture support in agile methodology and proposed solution’s model. Results of this mapping provides a guideline for researcher to improve the agile methodology by achieving the benefits employed by having an architecture in place that is aligned with agile values and principles. Following research addresses to implement the SEI architecture centric methods in FDD methodology in an adapted form, such that the burden of architecture doesn’t affect the agility of FDD. And the researcher found the de-motivators of agile which helps to understand the internal cycle and reduces the issues to implement the architecture. This study helps to understand the difference between architecture and FDD. This researcher mapping creates awareness about the process improvement with the combination of architecture and FDD.

Matrix Clustering based Migration of System Application to Microservices Architecture

A microservice architecture (MSA) style is an emerging approach which is gaining strength with the passage of time. Micro services are recommended by a number of researchers to overcome the limitations and issues encountered by usage of aging method of monolithic architecture styles. Previously the monolithic applications cannot be decomposed into smaller and different services. Monolithic styles application was the one build application. The issue resolution has the focus on lightweight independent application services in the form of sizable services, self-contained units with primary focus on maintenance, performance, scalability, and online services eliminating dependency. All quality factors have been thoroughly discussed in literature, system application migration is becoming an emerging issue with different challenges. This study is addressing the tight coupling to reducing this issue. Moreover, this literature review indicates some complex problems about the migration or conversion of system application into microservice. In architecture, dependency is a big challenge and issue in recent technology. Microservices are recommended by a number of researchers to overcome the limitations issue about how to migrate the existing system application to microservice. The need for a systematic mapping is essential in order to recap the improvement and identify the gaps and requirements for future studies. This study shows open issues first, new findings of quality attributes of microservices and then this study helps to understand the difference between previous traditional systems and microservices based systems. This research study creates awareness about system migration to microservices.

Motivators and Demotivators of Agile Software Development: Elicitation and Analysis

Motivators and demotivators are key factors in software productivity. Both are also critical to the success of Agile software development. Literature reports very diverse and multidimensional critical factors affecting the quality of Agile software development, thus, there is a need to extract and map required factors systematically for wider implications. The classification of anticipated factors and sub-factors is also desired to simplify their identification and definition. The reported research focuses on the systematic mapping of motivators and demotivators in Agile software development. A systematic mapping literature study has been performed to shed light on scattered critical factors for software engineers, affecting productivity and understanding of Agile viewpoints. Additionally, this study categorizes the extracted motivators as organization, people and technical. Whereas, the sub-factors’ categorization has been concentrated, which contributes to the motivators at grass root level. This research alleviates the problems of identification, definition and classification of the critical factors in agile software development for both practitioners and researchers.

Tagging Urdu Sentences from English POS Taggers

Being a global language, English has attracted a majority of researchers and academia to work on several Natural Language Processing (NLP) applications. The rest of the languages are not focused as much as English. Part-of-speech (POS) Tagging is a necessary component for several NLP applications. An accurate POS Tagger for a particular language is not easy to construct due to the diversity of that language. The global language English, POS Taggers are more focused and widely used by the researchers and academia for NLP processing. In this paper, an idea of reusing English POS Taggers for tagging non-English sentences is proposed. On exemplary basis, Urdu sentences are processed to tagged from 11 famous English POS Taggers. State-of-the-art English POS Taggers were explored from the literature, however, 11 famous POS Taggers were being input to Urdu sentences for tagging. A famous Google translator is used to translate the sentences across the languages. Data from twitter.com is extracted for evaluation perspective. Confusion matrix with kappa statistic is used to measure the accuracy of actual Vs predicted tagging. The two best English POS Taggers which tagged Urdu sentences were Stanford POS Tagger and MBSP POS Tagger with an accuracy of 96.4% and 95.7%, respectively. The system can be generalized for multi-lingual sentence tagging.