Cost is the main driving factor for all projects. When it is done correctly, it helps in the successful completion of the project. In this research we have discussed various factors that affect the estimation procedure. These include team structure, team culture, managerial style, project type (Core application or integrated application), client’s working environment. Accurate estimation is far difficult in developing countries where most of the organizations follow local standards. These inaccurate estimations lead to late delivery, less profit or in worst case complete failure.
Software requirement gathering, development, maintenance, quality assurance and cost of poor quality are major groups responsible for overall cost in software production process. The exact proportion among them varies significantly in consecutive software releases, which is caused by many factors. The ever increasing need for the reliability of the software systems, especially mission critical applications in the public safety domain, raises the bar for the accuracy of prediction and estimation techniques. The accuracy of estimations in many areas brings about more concerns regarding techniques already used in the software industry. Widely deployed techniques, such as Wideband Delphi method, stress the engineering and technical aspects of the process of how estimates are prepared.

In last few years’ different textile companies aim to produce the quality fabrics. Major loss of any textile oriented company occurs due to defective fabrics. So the detection of faulty fabrics plays an important role in the success of any company. Till now most of the inspection is done using human visual. This way is too much time consuming, cumbersome and prone to human errors. In past, many advances are made in developing automated and computerized systems to reduce cost and time whereas, increasing the efficiency of the process. This paper aims at comparing some of these techniques on the basis of classification methods and accuracy.

Multi-tenant applications are usually cloud based software services which can serve different users at the same time. This is done using single instance of applications by sharing hardware, infrastructure, data storage and virtualization. To achieve multi tenancy different approaches are there at every layer (Application, Data, hardware).Multi tenancy helps to minimize the effort needed for deployment and maintenance with an adequate level of security and privacy. Now a day the work is going on custom multi tenancy by sharing everything at each layer. This paper will describe the techniques of multi tenancy and how security, flexibility and scalability relate to each other when it comes to multi tenancy for customization.