Data flow testing in software testing and software engineering explained with detailed data flow testing example. This data flow testing in software testing with example tutorial covers what is data flow testing, data flow testing strategies in software testing and data flow testing techniques, Define Use Testing and Program Slices, data flow testing vs control flow testing, data flow testing white box with source code and Control Flow Graph (CFG), data flow testing metrics, Define node or Defining node DEF node, Use node or Usage node, P-use, C-use, O-use, L-use, I-use, anomalies examples and the steps that data flow testing can involve. Data flow testing in software engineering and software testing is a white box testing technique. Data flow testing in software testing methodologies is complementary to other software testing methodologies like requirements based testing. My data flow testing example is based on my pseudo code. View PATH TESTING in Software Testing with Example | Triangle Problem | BASIS Path Testing basic concepts: https://youtu.be/t-C3Bt7f1M8
2:04 – Data Flow testing example
7:20 – Define Use testing
13:22 – Test Coverage in Define Use testing
15:09 – Program Slices
20:41 – Complete Data Flow testing example in detail
सॉफ्टवेयर परीक्षण और सॉफ्टवेयर इंजीनियरिंग में डेटा फ्लो टेस्टिंग उदाहरण के साथ समझाया गया है। यह डेटा फ्लो टेस्टिंग ट्यूटोरियल कवर करता है सॉफ्टवेयर टेस्टिंग और डेटा फ्लो टेस्टिंग तकनीकों में डेटा फ्लो टेस्टिंग स्ट्रैटेजी, डिफाइन यूज़ टेस्टिंग और प्रोग्राम स्लाइस, डेटा फ्लो टेस्टिंग बनाम कंट्रोल फ्लो टेस्टिंग, डेटा फ्लो टेस्टिंग व्हाइट बॉक्स और कंट्रोल फ्लो ग्राफ, डेटा फ्लो टेस्टिंग मेट्रिक्स, डिफाइन नोड, यूज़ नोड, पी-यूज़, सी-यूज़, ओ-यूज़, एल-यूज़, आई-यूज़, आदि, विसंगतियों के उदाहरण और डेटा फ्लो टेस्टिंग चरण। सॉफ्टवेयर इंजीनियरिंग और सॉफ्टवेयर परीक्षण में डेटा फ्लो टेस्टिंग एक सफेद बॉक्स परीक्षण तकनीक है।
Start with a use-case and elaborate it into activity, class, sequence, and communication diagrams. This tutorial is a must for beginners who want to understand the relationships between different UML diagrams! It introduces the life cycle and evolution of a granular business case. Made with MS Visio and free stencils at http://softwarestencils.com/uml/index.html
Lecture Series on Software Engineering by Prof.N.L. Sarda, Prof. Umesh Bellur,Prof.R.K.Joshi and Prof.Shashi Kelkar, Department of Computer Science & Engineering ,IIT Bombay . For more details on NPTEL visit http://nptel.iitm.ac.in
This module address such questions as “what is a software process”, and looks at a generic process model. We look at the process model landscape, with perscriptive models such as the Waterfall Model, Incremental models, and the Unified Process. Then Agile Models such as XP, Srum, DSM, and finally specialised process models such as Component-based Development and Model Driven Development. Software Process Improvement is also important, with Improvement Frameworks and CMMI in particular being further explored.
Video Creators: Kyriakos Georgiou, Athina Paphitou, Christa Filippou
Dr. Efi Papatheocharous holds a Ph.D. in the area of Software Engineering by the University of Cyprus and in this video we are presenting one of her works as presented at the Artificial Intelligence Techniques in Software Engineering Workshop, at the 18th European Conference on Artificial Intelligence that took place at Patras, Greece.
“A fuzzy cognitive map model can be used as a software cost estimation tool by mapping all the factors that affect the software development process.
The identification of these factors and the way they interact with each other is a product of research and knowledge of experts from 3 European countries.
An easy way to understand a fuzzy cognitive map is by picturing it as a weighted, directed graph. Each node represents one of the eleven factors that are taken into consideration. Each edge in the graph represents the relationship between two nodes which can vary between [-1 and 1], meaning that an edge with a negative weight represents a negative effect between the two nodes in opposition to a positive weighted edge which represents a positive effect.
The amount of quality of these factors, of course, differs from company to company and from project to project.
This model can be a powerful forecasting tool for software project managers that will aid them to understand with accuracy the budget and time needed for a given project.”
– We have skipped some in-depth details from the original work of Ms. Papatheocharous to make it more understandable to the wider public.
Music by Christopher Christophides – https://soundcloud.com/chrisx-2