KR20040024926A - Software Reusability Measurement Methods and Systems - Google Patents

Abstract

PURPOSE: A method and a system for measuring a reusability of software are provided to make business engineering for software development and maintenance efficient by measuring/predicting the reusability of the software, and to enhance a chance of success by performing the related managements through project management. CONSTITUTION: An object/environmental variable input part(A01) automatically measures the reusability of the software. An architecture/component reusability analysis engine(A02) analyzes a characteristic of an architecture and a component, and extracts the information for measuring the reusability. A development process reusability analysis engine(A03) analyzes the reusability of a development process and extracts the information. A reusability measuring matrix database(A06) manages a standard for measuring the reusability. A reusability predicting model-base(A07) manages a reusability predicting model used for predicting the reusability. A reusability measuring knowledge-base(A08) manages a rule, a procedure, and knowledge needed to measure the reusability. A reusability measuring engine(A09) measures the reusability by the standard, the predicting model, and the extracted information.

Description

Software Reusability Measurement Methods and Systems

TECHNICAL FIELD The present invention belongs to the field of software metrics in software engineering, and relates to a method and system for measuring software reusability, and more particularly, to a method and system for measuring software reusability more consistently and accurately. The conventional method has a problem in that accuracy is insufficient by subjectively and irrationally measuring software reusability. Conventional software reusability measurement criteria, procedures, guidelines, systems, etc. have caused a lot of problems in usability due to the emergence of new object technology or component technology, and lack of accuracy and consistency of software reusability using them. Therefore, it is difficult to apply the conventional technology to the measurement of software reusability by embedded, semi-detached, and independent modes by object technology or component technology. Conventional software reusability measurement methods are not well-formed and lack standards, procedures, guidelines and automation systems. Therefore, the conventional method cannot secure the objectivity, reliability and accuracy of the software reusability measurement.

The technical problem to be achieved by the present invention is first, by improving the conventional subjective and unreasonable measurement of software reusability to accurately measure software reusability based on more objective and reasonable criteria, procedures, guidelines, and automated systems. To provide a method and a system. Second, the object of the present invention is to provide a method and system for more accurately and consistently measuring embedded, semi-built and standalone software reusability. Third, an object of the present invention is to provide a method and system for more conveniently measuring the reusability of software developed by a procedure-oriented development method, object-oriented development method, component-based development method, reverse engineering method. Fourth, the problem to be achieved by the present invention is the object-oriented Unified Modeling Language or object-oriented programming language C ++, JAVA, IDL, Ada, C #, SQL, VB.NET, Python, It provides a way to more accurately measure software reusability based on SmallTalk. Finally, the problem to be achieved by the present invention is to efficiently and accurately measure or predict the reusability of the software to provide efficient engineering of the project for software development and operation maintenance, project management, scope management, contract management, cost Management, personnel management, schedule management, quality control, configuration management, risk management. It is to improve business success by carrying out communication management and integrated management more systematically and scientifically.

1 is a block diagram illustrating a method and system for measuring software reusability according to an embodiment of the present invention, and FIG. 2 is a flowchart illustrating an operation of the method and system for measuring software reusability according to an embodiment of the present invention.

Software reusability measurement method and system of the present invention, to measure the software reusability automatically, the measurement object and environment variable input unit, architecture and component reuse analysis engine, development process reuse analysis engine, development method and tool reuse analysis engine, Development personnel reuse analysis engine, reusability measurement metrics database, statistical reusability prediction model base, reusability measurement knowledge base, which is a set of rules, guidelines, and knowledge necessary for measuring or predicting reusability, Reusability measuring engine to measure, characterized in that configured to include a measurement result output unit for outputting the measurement results.

The preferred embodiments of the method and system for measuring software reusability according to the present invention as described above will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a method and system for measuring software reusability according to an embodiment of the present invention, and FIG. 2 is a flowchart illustrating an operation of the method and system for measuring software reusability according to an embodiment of the present invention.

Software reusability measurement method and system according to an embodiment of the present invention, as shown in Figure 1, the measurement object and the environment variable input unit (A01), architecture and components for analyzing and extracting the characteristics of the architecture and components affecting the reusability Reuse analysis engine (A02), development process extracting characteristics of development process affecting reusability reuse analysis engine (A03), development method and tool retrieval analysis engine extracting characteristics of development methods and tools affecting reusability A04), the development personnel reuse analysis engine (A5), the reusability measurement metrics database (A06), the statistical reusability prediction model base (A07), and the necessary or necessary to measure or predict reusability. Reusability measurement knowledge base (A08), a set of rules, guidelines, and knowledge, Reusability measured engine (A09) for measuring a property, the measurement result and outputting the measurement result comprises the output unit comprises a (A10) Hayakawa.

Here, the measurement object and environment variable input unit A01 inputs characteristics and environment variables for architectures and components, development processes, development methods and tools, and development personnel affecting the reusability of software.

The architecture and component reuse analysis engine (A2) extracts information that affects reusability by analyzing an architecture and components that an organization can reuse. Here, the reusable architecture includes a system architecture, a technology architecture, an operational architecture, a software architecture, and a component architecture, and the reusable components are developed for reuse and managing components in a commercially available component, library, or repository. Contains components that are provided as components and system utilities. Here, the scope of the reuse component includes complete reuse and post-modification reuse, and also includes high level engineering output reuse and low level engineering output reuse. Here, factors influencing component reuse include simplicity, platform independence, accessibility, application independence, self-expression, clarity, modularity and generality.

The development process reuse analysis engine A03 analyzes the development process and extracts information that affects reusability. Here, the development process includes an organization process, a management process, an engineering process, and a reuse process.

The development method and tool reuse analysis engine A04 analyzes the development method and tool to extract information affecting reusability. Here, reusable development methods include procedural, object-oriented, component-based, and reverse engineering methods. Reusable tools include visual modeling tools, configuration and change management tools, test evaluation tools, and requirements management tools. Includes reusable support tools, libraries, and repositories.

The development personnel reuse analysis engine (A05) analyzes and extracts information affecting the reusability of development personnel. Here, the concept of development personnel includes project managers, analysts, designers, programmers, repository managers, and reuse specialists. The information affecting the reusability of development personnel includes object technology, component technology, reuse technology, and object orientation of development personnel. Includes information quantifying experience and knowledge related to programming.

The reusability measurement metrics database A06 provides a reusability measure and provides a measure of reusability by percentage and a measure by reusability index. Here, reusability is expressed by comparing the size of newly developed and acquired software with the size of software acquired by an organization in a certain period or in a specific project.

The statistical reusability prediction model base (A07) is a set of models for predicting reusability using statistical probability theory and management science technique using information affecting the identified reusability. Here, the prediction model includes a deterministic problem solving method and a nondeterministic problem solving method.

The reusability measurement knowledge base A08 is a set of rules, guidelines, and knowledge necessary for measuring or predicting reusability.

The reusability measuring engine (A09) performs the task of measuring the reusability by the information affecting the reusability. Here, the reusability measurement engine A09 performs reusability measurement work through organic communication with the statistical reusability prediction model base A07 and the reusability measurement knowledge base A08.

The measurement result output unit A10 outputs the measurement result of the reusable measurement engine A09 by a screen or a printing method. Here, if necessary, the above reusability measurement process may be repeated.

Operation of the reusability measurement method and system according to an embodiment of the present invention configured as described above is as follows.

First, as shown in FIG. 2, in the measurement object and environment variable input unit A01, characteristics of architecture and component reuse that are objects of reusability measurement, characteristics of development process reuse, characteristics of development method and tool reuse, and characteristics of development personnel reuse In the input (B01) state, the measurement elements are divided (B02), and the result is architecture and component reuse analysis engine (A02), development process reuse analysis engine (A03), development methods and tools reuse analysis engine (A04) or Development personnel reuse analysis engine (A05) is selected.

If the measurement element classification is an architecture and a component, information necessary for reusability measurement is analyzed and extracted (B03) by the architecture and component reuse analysis engine (A02), and stored and provided to the reusability measurement engine (A09).

If the measurement element classification is a process, information necessary for reusability measurement is analyzed and extracted (B04) by the development process reuse analysis engine (A03), and stored and provided to the reusability measurement engine (A09).

If the measurement element classification is a method and a tool, the information necessary for reusability measurement is analyzed and extracted (B05) by the development method and tool reuse analysis engine (A04), and stored and provided to the reusability measurement engine (A09). .

If the measurement factor is a development manpower, information necessary for reusability measurement is analyzed and extracted (B06) by the development manpower reuse analysis engine (A05), and stored and provided to the reusability measurement engine (A09).

Subsequently, the reusability measurement engine A09 sets the reusability dimension using the reusability measurement metrics database A06 or B07, selects the required model from the statistical reusability prediction model base A07 or B08, and reuses it. The reusability is measured (B10) using the sex measurement knowledge base (A08 or B09), and provided to the measurement result output unit (A10).

Finally, the measurement result output unit A10 outputs the measurement result of reusability on the screen or printing paper B11, and repeats the reusability measurement process if necessary.

The main effect of the present invention is to solve inaccuracies and difficult problems in measuring software reusability. In addition, even in the environment of various software applications, development methods and programming languages, software reusability can be conveniently and automatically measured in a format desired by the user, thereby minimizing time and economic losses. In addition, the present invention is to provide a more systematic and scientific approach to business management and engineering by providing a convenient and accurate measurement of software reusability. In addition, the use or application of the present invention is enterprise management, engineering and project management, and in particular, it can greatly contribute to the development personnel management of software, the selection of development methods and tools.

Claims (2)

Measure or measure software reusability based on development personnel, processes, development methods and tools, and reusable components for developing embedded, semi-embedded, and standalone software systems in a procedural, object-oriented, component-based, or programming language. In the prediction method and system, An object and environment variable input unit for inputting related information to automatically measure software reusability; An architecture and component reuse analysis engine that analyzes the characteristics of architectures and components and extracts information to measure reusability; Development process reuse analysis engine that analyzes the characteristics of development process and extracts information to measure reusability; Development method and tool reuse analysis engine that analyzes characteristics of development method and tool and extracts information to measure reusability; Analysis of development personnel reuse engine that analyzes characteristics of development personnel and extracts information to measure reusability; A reusability measurement metrics database for planning, creating, managing, and providing reusability metrics; A statistical reusability prediction model base for planning, creating, managing, and providing statistical or mathematical reusability prediction models used to predict reusability; A reusability measurement knowledge base that plans, creates, manages, and provides rules, procedures, and knowledge required for reusability measurements; A reusability measurement engine for measuring software reusability based on the measurement metrics, the selected prediction model, and extracted features; Software reusability method and system comprising a measurement result output unit for outputting the measurement results. The method of claim 1, The statistical reusability prediction model base is a set of models for predicting reusability using statistical probability theory and management science techniques. Here, the prediction model includes a deterministic problem solving method and a nondeterministic problem solving method.