Domain-Based Ranking of Software Test—Effort Estimation Techniques for Academic Projects

  • Jatinderkumar R. Saini
  • Vikas S. ChomalEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1077)


The significant segments of software project development are requirement engineering, designing, coding, testing, deployment, and maintenance. These phases are implemented irrespective of type of software methodology such as traditional or agile followed during the establishment of software as well as effectually documented. Also this practice is executed in all technical environment, i.e., software companies as well as academic courses were software projects are developed. Software project development is having utmost prominence and credit in educational prospectus for computer science and engineering. Apart from fundamental stages such as requirement engineering, designing, coding, testing, deployment, and maintenance it is found that IT industries also strictly and mandatory focuses on issues such as software risk management, software scheduling, and tracking as well as effort estimation and distribution related to time, budget, and testing. Also these IT industries consider and execute various testing techniques during software project development. For this proposed research framework 122 large software projects documentation were taken into consideration. For simplicity and better comprehensive research domain-based classification was used to classify these software projects into four main heads termed as—(a) Desktop Application, (b) Web Desktop, (c) Mobile Application, and (d) Portal. Similarly, the test effort estimation such as (a) Delphi technique, (b) Analogy-Based Estimation, (c) Software Size-Based Estimation, (d) Test Case Enumeration-Based Estimation, (e) Task or Activity-Based Estimation, and (f) Use Case Test Points are considered for this research purpose. We found that these testing techniques were not considered by students while developing academic software projects as well as no due weightage is given to these testing techniques and test effort by academic courses of computer science and engineering. The main objective behind ranking these techniques was to indicate that which technique is more suitable for software projects carried out by postgraduate courses in computer science. To achieve this purpose a survey is conducted as a part of research by considering 31 Computer Science Academicians to rank these software test effort estimation techniques. The result of experimentation shows that highest rank is allotted to Use Case Points-Based Estimation whereas second highest rank is assigned to Task-Based Estimation while Test Case-Based Estimation gained third maximum rank.


Academic courses Estimation Software Development Life Cycle (SDLC) Software Engineering (SE) Software project Testing techniques 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Symbiosis Institute of Computer Studies and ResearchPuneIndia
  2. 2.TMES Institute of Computer StudiesMandvi, SuratIndia

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