Automated Software Testing Introduction, Management, and Performance: Introduction, Management, and Performance

Preface

Automated Software Testing addresses the challenge for today’s software professionals who are faced with real schedule deadlines and need to introduce, manage, and perform automated testing on a project. The book addresses automated testing within a client-server or Web environment.

The focus of this book is the pragmatic concerns and information needed by the software test engineer/manager who faces the necessity of performing testing more thoroughly and quickly. By the same token, these same concerns may apply to the software developer who has the responsibility for development testing (that is, unit and integration testing) and, on some projects, system testing. The book also represents an informative guide that bolsters the ability of the quality assurance engineer to perform quality reviews on test design, test procedures, and the results of test activities.

The software project manager, who is responsible for the overall development effort, may also find this book useful. The text provides the project manager with guidelines concerning the goals and objectives of the testing effort and the decision about whether to automate testing. It also offers guidance on introducing automated testing on a project and outlines the processes for performing test planning, design, development, execution, and evaluation.

The authors have worked intimately with a number of automated testing professionals around the world, who were generous enough to share their problems and concerns. One primary concern voiced by these test engineers related to the fact that the test industry does not have the kind of structured methodologies that developers have traditionally enjoyed. Similarly, project managers, test managers, and test engineers may not be familiar with the kinds of approaches that are required to perform automated testing as opposed to the traditional test approach.

Clearly, the emphasis on automated testing represents a paradigm change for the software industry. This change does not simply involve the application of tools and the performance of test automation. Rather, it is pervasive across the entire test life cycle and the system development life cycle. The approach taken by project managers, test managers, software engineers, and test engineers is altered as a result. For software professionals to successfully make the leap to automated testing, structured approaches to testing must be embraced.

Automated Software Testing is revolutionary in that it promulgates a new structured, building-block approach to the entire test life cycle, while also providing relevant test automation and associated test management guidance needed by industry test professionals.


Automated Testing
Software project managers and software developers building today’s applications face the challenge of doing so within an ever-shrinking schedule and with minimal resources. As part of their attempt to do more with less, organizations want to test software adequately, but as quickly and thoroughly as possible. To accomplish this goal, organizations are turning to automated testing.

Faced with this reality and realizing that many tests cannot be executed manually, such as simulating 1,000 virtual users for volume testing, software professionals are introducing automated testing to their projects. While needing to introduce automated testing, software professionals may not know what’s involved in introducing an automated test tool to a software project, and they may be unfamiliar with the breadth of application that automated test tools have today. Automated Software Testing provides guidance in these areas.

The growth of automated test capability has stemmed in large part from the growing popularity of rapid application development (RAD), a software development methodology that focuses on minimizing the development schedule while providing frequent, incremental software builds. The objective of RAD is to engage the user early and throughout design and development of each build so as to refine the software, thereby ensuring that it more closely reflects the needs and preferences of the user. In this environment of continual changes and additions to the software through each software build, where requirements are encouraged to evolve, software testing takes on an iterative nature itself. Each new build is accompanied by a considerable number of new tests as well as rework to existing test scripts, just as there is rework on previously released software modules. Given the continual changes and additions to software applications, automated software testing becomes an important control mechanism to ensure accuracy and stability of the software through each build.

As noted above, a primary goal of RAD is to shorten the overall development schedule, by addressing the riskiest aspects of development in early builds. As a result, test activities are undertaken at the start of the initial RAD cycle and through each subsequent RAD cycle as well. As noted in Part III of this book, test design and development represent a complex undertaking. A test effort, in fact, may be as time-consuming as the effort required to develop the software application. When the project involves the integration of commercial off-the-shelf (COTS) products, for example, the test effort may even require more resources than software development. Instances where the test team does not participate in software specification or when test is not initiated soon enough pose a risk to the project. In these situations, potential outcomes include an incomplete software test effort, an insufficient test schedule, and an unplanned extension to the development schedule to accommodate testing.

Much of the test effort required on a project now needs to be supported by automated test tools. Manual testing is labor-intensive and error-prone, and it does not support the same kind of quality checks that are possible with an automated test tool. The introduction of an automated test tool can replace mundane manual test activities with a more efficient and repeatable automated test environment, which itself improves test engineer morale and retention.

Although some automated test tools began as capture and playback tools, the functionality and capabilities of automated test tool suites have been expanding. Automated test capabilities for software products include testing of the graphical user interface, requirements compliance, load performance, code coverage, Web interface, network communications, memory leakage, and more. New capabilities continue to be added to keep pace with the growing demand for test support.


ATLM
This book concentrates on the concerns of the software test professional within the framework of an Automated Test Life-cycle Methodology (ATLM). ATLM is a structured methodology geared toward ensuring successful implementation of automated testing. The ATLM approach mirrors the benefits of modern, rapid application development efforts, where such efforts engage the user early in the development cycle. The end user of the software product is actively involved throughout analysis, design, development, and test of each software build, which is augmented in an incremental fashion.

The ATLM incorporates a multistage process consisting of six components. It supports the detailed and interrelated activities that are required to decide whether to acquire an automated testing tool. The methodology takes into account the process of introducing and optimizing an automated test tool and addresses test planning, analysis, design, development, execution, and management. The scope of the test program is outlined within the test plan, as a top-level description of test approach and implementatio

ELFRIEDE DUSTIN has worked as a computer systems analyst/programer developing software applications and utilities. Her work has included process and data modeling using CASE tools and system design simulation models. She has been responsible for implementing the entire development life cycle to include requirement analysis, design, development, and automated software testing. JEFF RASHKA has managed a multitude of projects pertaining to information systems and systems integration. His system applications activities have encompassed the management of worldwide transportation assets, enterprise information, finance, bar-coded inventory, and shipboard information systems. Jeff has also implemented the Software Engineering Institute's Capability Maturity Model on several projects. JOHN PAUL has performed as a senior programmer/analyst on financial and budgeting systems as well as on a host of other information systems. His software development leadership responsibilities have included system analysis and design, application prototyping, and application development. His role in testing has included the use of many automated test tools.