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Test Readiness: Be Ready to Test When the Software Is Ready to Be Tested
Published in Matthew Heusser, Govind Kulkarni, How to Reduce the Cost of Software Testing, 2018
It’s Monday at 8 a.m., and the test team will begin testing at any moment. All eyes are on testing as they expect to be notified that the build is ready. The test manager has assured everyone that the team is ready to proceed when the test environment is up. The release manager finishes migrating the software and gives everyone the thumbs up to proceed. The first tester logs in and receives an access violation error message. Another tester notices the bar code scanner he’s testing has a hardware fault. A third tester can’t locate a required database. Testing halts while the managers discuss what’s going on. The test team takes a break. Several hours later, management announces that a major upgrade must be applied to the test environment. Testing will probably be delayed three days while operations completes the required maintenance.
Word for Windows
Published in Paul W. Ross, The Handbook of Software for Engineers and Scientists, 2018
The procedure to locate or find text is as follows: Position the insertion point somewhere before the location where you expect to find the desired text. CTRL-Home will position you at the beginning of your word processing document.Choose Find (CTRL-F) from the Edit menu at the top of the screen.Type in the text you wish to find, either one word or a phrase. Press the Enter key to start the searchOptionally, select the Match Case, if upper case and lower case letters are important in the search. Select Match Whole Word Only if you do not want the search to be satisfied for just a part of a word.Click on the OK to start the search, or Cancel to abort the search.
Searching and Citing the Scientific and Medical Literature
Published in Scott A. Mogull, Scientific and Medical Communication, 2017
When using the automated searches to find articles that cite a key article or related articles, you first need to locate the key article in the database. To maximize the search accuracy when searching for a specific article, you can use the article’s Title or the digital object identifier (DOI), which is a unique identification number assigned to digital publications such as individual journal articles. Searches for newer articles that cite an article (forward tracking) or for related articles are often prominent options in databases. For example, PubMed/MEDLINE lists related citations and articles citing the article on the publication record page (see Figure 3.4, right-hand column). In another example, Google Scholar provides hyperlinks to articles that cite each article and to related articles beneath each entry on the results page (see Figure 3.7). Remember that for any database search, the results are limited to the articles indexed in its collection and the results of any single database search are often unique (Kraft 2014). For example, PubMed/MEDLINE listed 24 articles citing the sample article in Figure 3.4, whereas Google Scholar listed 17 citing the same article (see Figure 3.7).
Service-Oriented Computing for intelligent train maintenance
Published in Enterprise Information Systems, 2019
Boukaye Boubacar Traore, Bernard Kamsu Foguem, Fana Tangara, Xavier Desforges
The principle of a service-oriented architecture is to structure the enterprise information system as a set of services that expose their functional interface and communicate via messages. In an SOA, we basically have three main roles: the service provider, the service requestor, and the service registry. The service provider publishes the description of his service in service registers specially designed for the purpose of being interrogated by clients. Service clients (client applications) locate (find) their service requirements by performing service registry searches. Once the service is located, the client retrieves the description of the registry and based on the information provided in the service description, the client then interacts (bind) with the service in order to execute it and obtain the results (Figure 1). In this case, the service provider is known in advance and it is the management company of the organs park of Sidi Bel Abbes.
Nuchal Translucency Thickness Measurement in Fetal Ultrasound Images to Analyze Down Syndrome
Published in IETE Journal of Research, 2021
Mary Christeena Thomas, Sridhar P. Arjunan, Rekha Viswanathan
Chan-Vese is an energy-based segmentation algorithm that helps to locate and find the NT contour. This segmentation works on Mumford Shah and the level set method. Mumford–Shah function is developed iteratively to reduce energy, which is based on weighted values which is equivalent to the sum of differences intensity from the average value outside the segmented area, the sum of differences from the average value inside the segmented area. Each of these regions is approximated by a smooth function [29] and not gradients. The curve moves around the ROI detects and ceases on the object boundary [30]. The intensities of the image are statistically homogeneous in each region. This is not suitable for all general images.
A new artificial intelligent approach to buoy detection for mussel farming
Published in Journal of the Royal Society of New Zealand, 2023
Ying Bi, Bing Xue, Dana Briscoe, Ross Vennell, Mengjie Zhang
This study focuses on the real-world mussel farm images with the buoy objects of different sizes. To efficiently locate these buoys, keypoint detection is employed to find small regions that may contain a buoy. There are several commonly used keypoint detection methods, such as Harris Corner Detection, SIFT, SURF, ORB, and BRISK (Tareen and Saleem 2018; Ma et al. 2021). We tested three different methods, as shown in Figure 10. Finally, we selected ORB because it is fast and it can detect keypoints that contain corners or shapes of the buoys.