Software metrics

Fault prediction in a quantitative way of different Types of Inheritance on the Object Oriented Software Metrics Osama-ur-Rehman, Malik Imran Sabir Computer & Software Engineering Department, Bahria University Karachi, Pakistan osamaurrehman@gmail.com malik_imrans@yahoo.com Abstract— Software testing of a system is a most critical process. Fault prediction models automatically identify fault-prone classes before testing. These models we can be used to reduce duration of testing, risk in projects

Griffey Halle Bus 210 Dr. Carl Wysocki Book Summary June 11, 2017 The Compound Effect by Darren Hardy This was a very good and intriguing book to read throughout the past couple weeks. I thought that Darren Hardy made handling money and life very simple and easy unlike other books. I Thought for my summary of the book that I would share some of his great ideas he presented in the book with his wisdom. Success and failure are the results of the choices that we make everyday. Part of the compound

Measure and understand organization’s key performance indicators and metrics, data of that. Executives want few things more than a dashboard, and they hate few things more than a dashboard. This paradox exists primarily because dashboards tend to become catchalls full of pies, graphs, and tiny text. Analysts have tried everything to make dashboards better. We have hired expensive consultants. We have purchased expensive software. We have replaced numbers with fancy visualizations (thermometers

in today’s world, it is too difficult to track every single metric on a daily or weekly basis. Therefore, the best approach to provide insights and locate certain pertinent bits of data is to use a dashboard. The dashboard serves to show all of the key metrics you would like to track and their changes since the last review all in one place. Dashboards should be simple and easy to read in seconds. Dashboards that display the best metrics and key performance indicators in the best manner should serve

Metrics Response Paper According to a poll from hubspot.com it was found that businesses with high numbers of webpages get over six times of more leads than companies with fewer pages. These statistic prove the importance of social media marketing in the business world. The effectiveness of a company’s advertising through social media measured through the metrics scale, or more commonly known as the key aspects of social media advertising. I do believe that metrics matter in social media to an extent

These are some of the cautions that were revealed through this assessment for me: The advice characteristics shows a desire to seek considerable amounts of advice. This was a known for me and it was born out of a need to do things right without error, and trying to make sure that I do not fail. I have learned that when trying to succeed and accomplish goals, there will be times of failure. This is the way that people learn and improve. If you are in a position, where you can get feedback to help

augmented reality: marker-based which uses cameras and visual cues, and marker less which use positional data such as a mobile 's GPS and compass. i) Marker based AR Various types of markers are images that can be detected by a camera, and used by the software as the location for virtual assets placed in a scene. Most of them are black and white markers. Simple augmented reality markers can consist of some basic shapes made up of black squares against a white background. More elaborate markers can be created

customers. The Customer Segmentation is done based on the Interests & Preferences Towards the various Projects [End Poverty, Climate Change, Clean Water and Sanitation]. The Target metrics were collected using the Google Analytics tools. The data are further investigated to derive meaningful insights. The target metrics which are collected are: 1. Audience Overview: - Sessions, Page Views, Average Session Duration, Pages/Session, New Visitor Vs Returning Visitors. 2. Acquisition :- Traffic Channels

After reading the two articles by Ramias and Wilkins on Performance Metrics, what metrics, if any would you identify that are essential to managing the prescription fulfillment process at CVS. Ramias and Wilkens’ state that the starting point in developing metrics is to understand the expectation of the customer. Upon review of the data compiled by the PSI team, customers expect accuracy and timeliness. Therefore, most of the metrics developed below focus on measuring the two expectations and, I

TABLE 3: Attributes of an Ideal image target Related Work Sl. No. Attribute Example 1. Rich in detail PCG scene, group of features, Mixtures of hidden acoustic signals and murmurs 2. Good contrast Bright and dark regions, and well-lit 3. No repetitive patterns Abnormalities may be multiple and random. 4. Format Must be 8- or 24-bit PNG and JPG formats; less than 2 MB in size; JPGs must be RGB or greyscale (no CMYK) C. Applications 1. Text recognition from a vocabulary of words. 2. Object recognition