Software Process Models are Software Too

Software process is the most important part of software project management, and software process models are important means of implementing the software process in any software organization. When there is need to improve the software process, then the need to improve the work-task part (software process models) of the software process must arise. As, there is need of increasing the commitment of software project managers through out the software development life cycle (SDLC), so we need to give them the list of activities in Waterfall Model, which should be made efficient by the software development team, to get the 80% productivity (output) easily, by reducing the effort of software development and ultimately increasing the performance of the software process. So, the idea of 80/20 rule (Pareto Principle, 1935) can be applied in the software engineering process model, in this regard. The Pareto Principle (1935) directed us to focus on what is really important in any field and field's work. Software process is most important part of software project management (SPM). This is also then ultimately needed for software project management (SPM) improvement. Our main research work is to improve the work-task part of the software process (i.e. software process models by applying the Pareto Principle - 80/20 Rule (1935) (or law of vital few) (1935), in the software engineering process models (or work-task part of the software process). This will be to facilitate the software project manager, using the software process models practically more efficient than without application of 80/20 Rule in software engineering Waterfall model. This has resulted in the reduction of the software development effort and increase in the performance of the software process. The results (efficient and improved software process models) will be implemented in the software industry, by software project managers, by focusing on the list of activities giving 80 percent of the overall productivity of the software process. The results will be the list of activities having the capability to give 20 percent of the overall productivity of the software Waterfall process, to be ignored, eliminated or designated to reduce the effort.

Experience with software process simulation and modeling

Several approaches, such as modeling, assessment, measurement, and technology adoption, are available to improve a software process. The approaches supplement each other, but one usually dominates in process improvement. Process assessment is a norm-based approach, which is often used for evolutionary process improvement. The starting point for process improvement actions is the gap between the current state of an organization and the desired future state. These two states can be characterized using a norm for good software practices like CMMI or SPICE. Process modeling comprises analysis of activities, artifacts, roles and tools. Process assessment studies the capability of the process based on process attributes defined in the assessment model. In this paper we illustrate, how a method for descriptive process modeling can be integrated with an approach of assessment based software process improvement. The outcome is based on the observations of existing solutions and proposals for their improvement. The final result of our on-going study is a unified method for process improvement. The application of the method results in detailed process profiles with process improvement opportunities, and a descriptive process model of the assessed software unit. The main benefit of the approach is that the improvements are clearly expressed in the actual process model to make the process changes more manageable.

Recently, the software engineering community has focused its attention on the process of software creation and evolution as well as the products of that process. Much of this attention has concentrated on modeling the software process. Software process models are seen as important vehicles for understanding and reasoning about software creation and evolution activities. Software process models may also provide a basis for structuring automated software environments. Despite this attention and the advantages to be gained through the use of software process models, however, no wholly satisfactory model of the software process has yet emerged.This paper presents an approach to software process modeling which is based on behavioral descriptions of software development activities. The use of behavioral descriptions makes it possible to describe the software process at any desired level of abstraction and, therefore, assists in accommodating aspects of the process which are poorly understood. This approach also provides the ability to reason about the software process and is sufficiently rigorous to provide a basis for structuring automated software environments. An overview of the model is presented, followed by a formal definition. Examples are given to illustrate the application of the model to existing software processes and software methods. Finally, the implications of the model for automated software environments are discussed.

In the last two decades, software process modeling has been an area of interest within both academia and industry. Software process modeling aims at defining and representing software processes in the form of models. A software process model represents the medium that allows better understanding, management and control of the software process. Software process metamodeling rather, provides standard metamodels which enable the defining of customized software process models for a specific project in hand by instantiation. Several software process modeling/meta-modeling languages have been introduced to formalize software process models. Nonetheless, none of them has managed to introduce a compatible yet precise language to include all necessary concepts and information for software process modeling. This paper presents Software Process Meta-Modeling and Notation (SP2MN); a meta-modeling language that provides simple and expressive graphical notations for the aim of software process modeling. SP2MN has been evaluated based upon the well-known ISPW-6 process example, a standard benchmark problem for software process modeling. SP2MN has proved that it presents a valid and expressive software process modeling language.

PSEE (Process-centered Software Engineering Environment) can manage and monitor software process. Software process modeling language is a core element in PSEE system. Due to the particularity and the complexity, software process model includes multi-views: activity view, product view and role view, which should be considered in modeling software process. Based on the similarity between multi-view software process modeling and object Petri nets, this paper proposes the MOPN-SP-net model which is a multi-view software process model based on multi-object Petri nets. The model includes twolevel models: system net and object net. A multi-view paradigm including activity views and product views is provided. Activity views are described by system nets and product views are described by object nets. MOPN-SP-net includes multi-views of software process model, which is characterized with clearer hierarchy, simpler structure, and more extendibility.

SUMMARYSoftware process improvement (SPI) can be seen as a profession having its own competence needs and its own community of interest. European projects EQN and EU Cert have defined skill sets and a common certification scheme for about 20 professions, mainly in the IT domain. European Certification and Qualification Association ECQA is created to manage certification and provide the necessary infrastructure. A common way to approach the IT domain from a process perspective is the ‘3S’ concept (Software, Systems, Services). Software process can be seen as the first spearhead among these. The first software process models, such as CMM and SPICE, have already existed for about 20 years. With all the experience that the models bring, it is reasonable to start the PI profession from the software process. Software Process Improvement Manager (SPI Manager) is one of the new topics in ECQA. The development of the SPI Manager training and certification scheme has been done in many small steps so far. This paper explains the current structure and the main components of SPI Manager competences, training needs and the certification scheme. Several other schemes will be developed in the future for process improvement‐related competences. The current version of the SPI Manager skill set is mainly based on software, systems and service processes and their related reference models. It could also be used in the future in domains other than IT. Copyright © 2010 John Wiley & Sons, Ltd.

To provide support for the development of reliable software in a cost-effective way, software engineering environments should be based on a software process model containing explicit representations of the knowledge needed to perform a software process, being able to offer an active assistance to that process. Moreover, process models can vary to reflect specific characteristics of projects and can change dynamically, as the process occurs. To support this changing nature of software process models, the environment should have mechanisms that allow generation of process models according to project needs and dynamic modification of the models during the software process. This paper describes a software engineering environment that combines knowledge-based assistant with dynamic meta-system concepts to offer active and flexible support for software processes. The main concern is to discuss the knowledge representation issues related to this environment. >

Software process simulation models (SPSMs) that are based on descriptive process models offer the executability that can demonstrate dynamic changes of software processes over time. Verification and validation (V&V) is critical in SPSMs for guaranteeing the quality and reliability of models. V&V of dynamic software process models is more complex and challenging than for static software process models. This work systematically summarizes and maps V&V studies in SPSM to provide guidelines for future research and practice. Specifically, this study aims at identifying the focus of research on V&V, the methods used for V&V, and how to implement V&V of SPSMs in software engineering research. We conducted a systematic mapping study on studies of SPSMs that report on their V&V activities. Under the guidance of a V&V meta‐model for SPSMs, we study four research questions about V&V process. We identified 107 primary studies from a pool of 313 papers on SPSMs until 2021. There are two main results of our study. The first one presents the relationship between quality aspects of SPSMs and the V&V methods to assure them. The second result reveals the relationships among the modeling process, three modeling steps, five quality aspects, and 10 V&V methods. Generally, researchers do not pay sufficient attention to V&V, as 65.8% ( ) failed to mention or elaborate on their V&V process. We systematically summarize and map the state‐of‐the‐art V&V research in software process modeling field to support modelers' practice and improve their V&V process.

Software process play an important role in improving the quality of software products. Formal software process model is conducive to the accurate description of software processes. A software process meta-model is a formal tool used to define software process models. In this paper, a software process meta-model SPMM is designed. Firstly, five important properties in software processes are discussed. Furthermore, based on CSP and Hoare Logic, the definition of SPMM and the rules to build software process models are proposed. In SPMM, not only are the important components, e.g. tasks, activities and software processes in software processes, formally defined, but also the five important properties of software process are embodied. Therefore, SPMM can model software processes at different abstract levels. Thus, the basis to simulate, control, analyze, measure and improve software processes is established.

A family of experiments to validate metrics for software process models

A software process is a set of activities that will be carried out over time to produce a software system. Research on the software process has been increasingly recognized. This position advocates the representation of a software development process which should be explicitly defined, maintained and executed by a PSEE (Process Sensitive Software Engineering Environment). The complexity and scope of large scale process models makes their design, development and maintenance very complex. The overall objective of our approach is to define a tool to support the software process model construction and maintenance in PSEE. We investigate how software configuration management techniques applied to the software process can provide a novel solution for the definition and composition of reusable software process components. We present the current status of our work.

Currently most software process modeling approaches are predefined, not automatically adaptive to different software projects, and provide little support for development team formation with task and resources allocation in real environments. Based on our ten-year working experience for software organizations, we propose an agent-based multilateral negotiation model MNMPA to support dynamic software process modelling and ease the work of team formation. MNM-PA brings the following advantages: (1) the software processes are not predefined; (2) the software processes are for given projects and with development teams, allocated tasks and task constrains. MNM-PA is an extension of the classic one-time biding contract net protocol. It defines the main components to model a complete negotiation process for software process construction, especially including the negotiation strategies. MNM-PA is implemented and experimented in a software process management tool namely SoftPM, which is used in more than 100 software organizations in China.

work of W. Edwards Deming has convinced industry that must first measure quality and then emphasise process to improve quality. In response to Deming's arguments and in light of perception that software industry is unable to produce quality products on schedule, and within budget, more software development organisations are now emphasising process measurement, monitoring, and assessment. This paper describes what is meant by software process and discusses an approach for its measurement and improvement. INTRODUCTION Unreliable software makes big news, from emergency services disasters to social security payment blunders. Improved software quality is essential to ensure reliable products and services, and gain customer satisfaction. While software development has existed for more than four decades, we failed so far to make as an industry and as an engineering discipline rather than craft. Developing reliable and usable software that is delivered on and within budget still represents difficult endeavour for many organisations. As role of software becomes increasingly critical for businesses as well as for human lives, problems caused by software products that are late, over budget, or that do not work, become magnified. If lives are lost or people inconvenienced due to incapable computer software, news media is there to make big stories. Organisations are realising that their fundamental problems is immaturity of their software process. Robert Lai (1993) proposes that process improvement is second maturity wave of software industry. He states that the first wave of software was developed using waterfall model in 1970's. Today we are Transactions on Information and Communications Technologies vol 8, © 1994 WIT Press, www.witpress.com, ISSN 1743-3517 216 Software Management in midst of second wave maturity movement as we attempt to formally define development process and best ways to continuously improve it (Lai 1993). Taking lead in this area has been Watts Humphrey (Humphrey 1989, 1990, 1991), and Software Engineering Institute (SEI) at Carnegie Mellon University. SEI started in 1986 to develop process maturity framework to help organisations appraise maturity of their software process, and to provide guidance for organisations to improve their software process capability. A brief description of framework was released in September 1987, including maturity questionnaire. SEI evolved model and questionnaire into 5 -Level Capability Maturity Model (CMM) in 1991. In February 1993, released CMM version 1.1 (Paulk et al 1993). This paper discusses software process and describes capability maturity model (CMM). It also shows how CMM can be used as basis to measure maturity of software process of an organisation and plan its improvement. SOFTWARE QUALITY AND PROCESS IMPROVEMENT In his book Quality is Free Phil Crosby states that: Quality is free. It is not gift, is free. What cost money are unqualify of things all actions that involve not doing jobs right first time (Crosby 1980). If such statement is true for many disciplines, is particularly true for evidence is abundant in number of software products which exceeded their budget, were produced late, failed to satisfy user requirements, and are full of bugs. demand for improved software quality is increasing to ensure reliable products and services. benefits of improved quality comes in form of reduction in failure costs. For software projects failure costs include (DTI 1992): • costs of correcting defects, both before and after delivery • overruns against and budget • unnecessary high maintenance costs • indirect costs which users incur due to poor quality software link between process maturity and software quality is expressed in premise that The quality of software system is governed by quality of process used to develop and maintain it. One stumbling block to improving software quality seems to be that not enough attention is paid to overall development process itself. While software professionals typically devote their to developing, testing or documenting software products, no one has prime responsibility for improving software process. Experience has shown that if Transactions on Information and Communications Technologies vol 8, © 1994 WIT Press, www.witpress.com, ISSN 1743-3517 Managing Systems 217 no one is working on software process, orderly improvement is unlikely. process certainly won't improve itself, rather, most likely, will deteriorate over time. Continuous improvement can occur only if process infrastructure is in place. Watts Humphrey argues in an early article published in Datamation, April 1989 that: Without work on process, there will be little or no progress in improving software. THE SOFTWARE PROCESS Adopting process view of software development represents revolutionary change in perspective. A process orientation to software development involves elements of structure, focus, measurement, ownership, skills, and supporting technology. In this section we investigate what is meant by software process. What Is Software Process According to Webster's dictionary, process is a system of operations in producing something .. series of actions, changes, or functions that achieve an end result. Chambers Concise Dictionary defines process as a series of actions or events .. sequence of operations or changes undergone. IEEE defines process as a sequence of steps performed for given purpose. In general business context, process is defined as a structured, measured set of activities designed to produce specified output for particular customer or market (Davenport 1993). These definitions put strong emphasis on HOW work is done, in contrast to product focus's emphasis on WHAT. Accordingly, process can be considered as a specific ordering of work activities across and place, with beginning, an end, and clearly identified inputs and outputs: structure for action. In this paper we will adopt following definitions quoted in (Humphrey 1990, Paulk et al 1993) are intended to encompass software throughout its life, which covers new development, enhancement, and repair. software process is The set of activities, methods, and practices used in production and evolution of software. software engineering process is The total set of software engineering activities needed to transform user's requirements into software. Transactions on Information and Communications Technologies vol 8, © 1994 WIT Press, www.witpress.com, ISSN 1743-3517 218 Software Management People and Software Process Software development is still people-intensive activity. Talented people are most important element in any software organisation. Even if you get best people available, if they do not follow common process, if everyone wrote in different programming languages, used different conventions, or didn't co-ordinate their design and code changes with their peers, results will be chaos. Successful software organisations have learned that even best professionals need structured and disciplined environment in which to do cooperative work. Software organisations that do not establish such disciplines condemn their people to endless hours of repetitively solving technically trivial problems. obvious fact is that attracting best people is vital, but is also essential to support them with an effectively managed software process. Technology and Software Process Another myth is widespread belief that some technologically advanced tool or method will provide magic answer to software crisis. This is not only wrong, but is dangerous. Organisations which jumped on bandwagon of CASE tools, and ended up in failure and wasted and effort have learned their lesson hard way. Just ask yourself before introducing technology: What do I want to automate? In absence of defined, practised, and managed process, introducing automation can lead to increased chaos. There are several factors which limit effective use of software technology: an illdefined process, inconsistent process implementation, and poor process management. Software technology cannot be fully effective until these problems have been properly addressed. Need for Defined Process If no effort is made to define and enhance software development process across whole organisation, each software development project latches on to its own tools, methods, and practices with little guidance available on how to use them. This ad hoc approach will not be sufficient to tackle task of developing complex software systems. goal of software process management is to enable organisations to produce software that meets cost, schedules, and quality objectives. principles are same that underpins statistical process control-principles that have been successfully used in controlling scientific experiments and in high -volume manufacturing operations. Statistical concepts have been found to be just as applicable to software development as they are to production of manufactured goods such as motor cars. Applying such concepts will only be possible if there is defined and managed process. Software Process Models Transactions on Information and Communications Technologies vol 8, © 1994 WIT Press, www.witpress.com, ISSN 1743-3517

As the acquisition and sharing of knowledge form the backbone of the software development process, it is important to identify knowledge discrepancies between the process elements. Explicit representation of the knowledge components within a software process model can provide a means to expose these discrepancies. This paper presents an extension of the Software and System Process Engineering Metamodel (SPEM), to be used as a new knowledge modeling layer. The approach, which is based on ontologies for knowledge representation, constitutes an explicit method for representing knowledge within process models. A concept matching indicator shows the state of the process model in terms of the concept gaps for each task within the process. This indicator could lead to more informed decision making and better management of the associated risks, in terms of team competency, documentation quality, and the training required to mitigate them.