A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS

Electrical & Computer Engineering: An International Journal (ECIJ) Volume 4, Number 3, September 2015
DOI : 10.14810/ecij.2015.4307 83
A STUDY OF FORMULATION OF SOFTWARE TEST
METRICS FOR INTERNET BASED APPLICATIONS
Manjeet Kumar1
and Dr.Rabins Porwal2
1
Mewar University, Rajasthan, India
2
ITS, Mohan Nagar, Ghaziabad, India
ABSTRACT
The continuous use of the internet for day to day operations by businesses man, private sector and
government has created a great demand for internet applications. In such kind of application web
server/application server plays vital role. One of the techniques is to test the functionality of web
applications affect user session data received from the web servers. This technique automatically generates
test cases on the behalf of user profiles. The contribution of this paper is the internet application of concept
analysis for clustering user sessions has been reduced. We have completely automated the process from
user session receive and also reduction through replay. In this paper we propose a concept analysis for
internet application and also present a tool Ranorex for the same. In order to execute test case we have a
model for data retrieval. Web application is using in different areas like, medical, insurance, banking etc.
KEYWORDS
Software Test Metrics, WWW, E-business, V&V
1. INTRODUCTION
Web applications contribute a very big audience and execute in very large network. If we really
look at that an Internet application runs in its desired production platform, we have so many
parameters against product quality. Markets are growing very fast so the company learn latest
strategies from the market and probably implement it[1]. Technology is changing very fast so the
incompatibilities between software is very common[3,4]. If we talk about testing there are so
many challenges in testing phase[6]. Internet software that is updated automatically.
If we look at testing so load and security testing are more vital and more difficult[6].
Another testing challenge is the evaluation of existing technology[4] and evolution of
new technology and also constraints. All updation can take place from home server to
application server.
This research paper give a proposal for how one can measure of infrastructure for test metrics for
the internet/intranet applications. We end the paper by proposing a framework for measuring
Internet related metrics of the software.

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2. ABBREVIATIONS
3. SOFTWARE TEST METRICS IN INTERNET APPLICATIONS
There are three reasons for test metrics for internet application.
Prediction
Evaluation of test cases
Control
If we really look at the test metrics program then test metrics program consists of five steps [7]:
Identify business-oriented goal
Create test metrics
Collection historical data
Automate procedures
Use metrics in decision making capability.
Let us take an example for naïve user experience depends on how much fast they can get data
from the source to the destination[7]. If we talk about test metrics then very much required
parameter is throughput and it can be defined as the how much data you can transfer in one

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second from source to destination[3,4]. In such case historical data plays important role for
performance. Other parameter is bandwidth usage.
On the basis of above a decision should be made on either increasing or decreasing the flowing
video content on the dynamic web site[8,10]. If we look at the quality product so TQM process
should be included in each step and quality product consists of following types of measurements-
Measures of test suite complexity
Measures of test cases
Measures of release guidelines
4. TYPES OF TEST METRICS
We have different kinds of standard test metrics which are suppose to be applied for quality
software.
Fig.1 shows the methodology for generating software test metrics for Internet applications.
Fig.1: The V&V Methodology to generate software test metrics for Internet applications

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4.1 Static Analysis Test Metrics
The objective of static analysis test metrics is find error in the existing code.If we talk about static
testing then developer is able to check errors[3,5]. The same thing can be contributed about
quality product. In this scenario error situations are quickly detected[2]. This testing is needed to
ensure software fulfillment the existing standards. Let us take an example tracking code
complexity is needed for for finding errors. This is well accepted. In such scenario complexity
metrics like McCabe’s Cyclomatic Complexity are included[5]. If we have a module which is
very complex it should be testing very seriously and get the desired outcome. Error situation can
be one of them-
Syntax error and deviations from existing standards
Problems in control flow and data flow.
A table below is given for static analysis test metrics.
Table 1.0: Static Analysis Test Metrics
The parameters in above metrics will differ from tool to tool[4]. The test metrics complexity may
be either Halstead or McCabe’s which is totally depend on the complexity selected by the end
user[4] when run the tool. Apart from it it also observed that some more metrics parameters are to
be required using the software like McCabe Visual Test Tool.
4.2 Functional Test Metrics
Functional Testing of web applications is done to ensure that the input conditions according to
the business rules work properly and to check that output conditions are verified against the
expected output conditions[12]. It ensures that every function described in the specification is
tested and that every function tested is described in the specification[7]. A requirement
traceability matrix is a handy tool here. Functionality test metrics could be derived from Scenario
Testing and Functional Coverage Testing[7].
4.2.1 Scenario Testing
Scenario testing is applicable for determine the status of a web application. The consistency and
reliability of E-business systems is based on following parameters-
First of all the rate of application change from text content to video feature upgrade
increases automatically.
Second if we talk about E-business systems which are suppose to be implemented in mix
of platforms/technologies where three entities are involved for the transaction.

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Finally but not last the numbers of end users which are suppose to be connected with an
E-business system.
4.2.2 Function Coverage Testing
This kind of testing is done for functional coverage to find which methods are never called. If we
talk about business scenario then the usage pattern can use for dynamic web site[5]. Each pattern
can distribute the numbers of end users among the business cases. We are considering purchase
cycle as an example over here[5]. The purchasing over the internet we need to test for the
complete purchase cycle:
Placing an order
Processing
Canceling an order
Checking the status of an order
Changing the shipping information
The objective is to test the application against each use case.
Table 2.0: Functional Test Coverage Metrics
Functional coverage index = No. of functions / Total No. of use case scenarios
% Functional coverage = No. of functions covered per use case /Total No. of functions
4.3 Dynamic Test Coverage Metrics
This kind of testing is used for obtaining how much code is being tested. It does not mean that it
is not useful. It is useful to have measures of how completely the code is tested[6,9]. Code
coverage is the test metrics used in such cases.
The main calculated coverage measures are:
Statement coverage, Branch coverage, Procedure coverage, Path Coverage[13]
Boolean Operand and Operator Coverage, Decision Coverage, Loop Coverage[9]
The % Decision Coverage defined as the number of decision outcomes in a module[5].

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The % Condition Coverage defined as the number of condition outcomes for each
decision in a module.
Table 3.0: Dynamic Test Coverage Metrics
4.4 Performance Test Metrics
The internet is one of the growing technologies in the world. Organization is using web
technology in the form of internet, intranet and Extranet applications to carry their products and
information is suppose to be provide to their customers.. In some cases it has been observed that
web server is loaded due to millions so in this scenario we required to do a load and stress testing.
For example a client/server 3-tier architecture contains a client system and a server system, data
base server, all of them are responsible for data processing. On the internet, the client is the
browser for sending request and server for response with the coordination of data base server likr
oracle 10g. The web server processed all the requests through URLs from the client. Following
are the methods for performance testing:
Modem Simulation
Multiple URLs/URIs for dynamic Web Site
Load Simulation
Such kind of testing can take place with WebLoadTM
, Astra QuickLoadTM
etc
Table 4.1: Performance Test Metrics

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Table 4.2: Performance Test Metrics
Fig.2: 3-dimensional representation of Performance Test Metrics for Internet Applications
5. CONCLUSION
Metrics and their use is based on application. This methods required periodic reevaluation of the
metrics. Metrics are basically for collection and simulation of the real life application so they are
indicators for internet application. It is very much required to understand the applicability of
formulating software test metrics as the key to product improvement in the Internet space.
Software test metrics is for monitoring and controlling the quality of the product . Interpretation
of the resulting testing metrics is suppose to be present in tabular form and to observe changes
whenever is required.

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AUTHOR
Manjeet Kumar received MCA. degree in Computer Science from K.N.I.T
Sultanpur, (2004), and M-Tech degree in IT(2010) from Karnatika University. At
the moment he is Ph.D. scholar at Mewar University,Rajasthan. His research
interest includes Automated software testing,Web technology. Email: manjeet
2005@gmail.com,

A STUDY OF FORMULATION OF SOFTWARE TEST METRICS FOR INTERNET BASED APPLICATIONS

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