Table of ContentsSEER Software HistoryHistorical TimelineVersion 1.0Subsequent VersionsCurrent VersionSEER Technical SpecificationsComplete Life Cycle Estimation:The Work Breakdown Structure:Software Project SizingThird Party IntegrationsAnalysis and Reporting of ResultsCollaboration and WorkflowAdvantages and DisadvantagesAdvantagesDisadvantagesQualityCostSEER Software is a project management software that concerns algorithms. SEER software has invested about two and a half decades of research. This software is designed to estimate, plan and also track the required work regarding the software maintenance or development project. SEER, this word comes from the name which refers to the ability to predict the future, parametric algorithms, knowledge bases, simulation-based probabilities and historical precedents. These are empowered to project managers, engineers and cost analysts to accurately estimate the cost of the project. Apart from this, it can help in estimating the risk and effort required to start a project. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get Original Essay This software helps a development to organize a better plan and it also helps to control the cost, quality and also the duration to complete the work and also the risks while conducting the project. SEER software is produced and has many versions to improve estimation. SEER software has many features that help the project manager in estimating projects such as sizing, analyzing and producing a workflow. SEER software has many benefits that can help engineers and project managers in estimating the project. This software brings many benefits such as accurate project estimation, planning and helps them make decisions with confidence. However, SEER software also has some drawbacks that will increase uncertainty and complexity. SEER software has many advantages over manual estimation. Benefits such as time, accuracy, effort and consistency can help produce the estimate in a timely and efficient manner. History of SEER Software SEER Software is a project management software designed specifically to estimate the resources required for any type of software development and maintenance project. SEER refers to the ability to anticipate the future, leverages parametric algorithms and knowledge bases to enable project managers, engineers and cost analysts to accurately estimate cost schedule, risks and efforts of a project before the start of the project. Historical timeline In 1966, the System Development Corporation model based on reversions was introduced. In 1980, Don Reifer and Dan Galorath encouraged the construction of JPL's flexible cost model. This model is one of the first examples of software estimation that allows for automated and performed risk analysis. The soft cost was transformed into a commercial product by Reifer Consultants. In 1984, the Jensen model existed. The Jensen-inspired System-3 and other modeling systems like Barry Boehm's COCOMO and the early work of Doty Associates as direct and indirect contributors to the set of software that would be created by Galorath in the late 1980s Version 1.0 In 1988, Galorath Incorporated began work on the first version of SEER-SEM, which resulted in 22,000 lines of code. Version 1.0 of SEER-SEM was released on 13 5.25 inch floppy disks and was an initial product on Windows version 2. However, theDesigning SEER-SEM for Windows is risky because the operating system has not yet found itself as a competitor to the current dominant operating system. , which is Microsoft's MS-DOS. Acceptance of a Windows-based format proved attractive, allowing SEER-SEM to offer a much more intuitive user interface that would otherwise have been available in MS-DOS. ability to provide a more graphical user environment, allowing for more robust management compromises and understanding of this initial release in 1988, SEER went through numerous upgrades, adapting to different technologies, adapting to better meet needs of the client and modifying the model to obtain more precise estimates. In 1994, the release of SEER-SEM version 4 included major improvements to the basic mathematics behind the model, handling project realities rather than just software projects. Subsequent versions Since the approximation of the Rayleigh curve, more knowledge bases and the latest research in software science. In 2003, new structures were added, such as goal setting and risk adjustment. Both features worked as their names suggest, with risk analysis agreeing to make changes to estimates and setting goals allowing projects to go beyond just being estimated. Version 6 of SEER for Software was the first to agree on both input and output on many Microsoft products, such as Excel. Version 7 involved better management of projects that performed beyond their optimal strength. The current SEER release for software version 7.3 is a significant upgrade over the original application, which could be included to support all stages of a project's lifecycle. The scope of the software has expanded to over 200,000 lines of source code and has grown from a simple means of estimating work via parametric modeling to a system that supports these results with simulation-based probabilities and more of 20,000 historical cases to draw conclusions. The original SEER-SEM has also branched out into:SEER for Information Technology (SEER-IT) - Estimating the design and maintenance of infrastructure and service management projects.SEER for hardware, l Electronics and Systems (SEER-H) -To assist in the estimation of costs in the life cycle of any type of hardware, electronics or system. SEER for Manufacturing (SEER-MFG) – For or to estimate detailed production costs of manufacturing, covers a wide range of advanced manufacturing practices and procedures. knowledge.SEER for Software – Including aerospace, finance, banking, retail and manufacturing giants. Users include Bank of America, Northrop Grumman, Boeing, Lockheed Martin and Atmospheric Administration, as well as the US Department of Defense. Technical characteristics of the scope and methodology SEEREEEstimationIt includes the development of high-level system requirements. The example such as coding and testing, maintenance and application support (can also be known as full lifecycle estimation). Estimation of the complete life cycle: Maintenance can estimate growth, change, defects as well as the costs of adaptation, prevention and improvement. maintenance and improvements. For project estimates, the information needed are behavioral models, project histories, data models, and parameters. All data is confidently estimated with available information. The work breakdown structureestimates the system as a single element and decomposes it into logical modules and detailed components. Elements can be defined hierarchically in any way that suits the project, set the trust deed level, and set summation points. Items can have different settings, different sizing (function points, source code lines, story points), and unique staff loading/profile. The work breakdown structure: a rough order of magnitude (ROM) created using default values ​​that avoid the need for users to adjust parameters. Users can customize each setting based on historical data from the organization's previous projects, environment data, and requirements. Risk analysis estimates integrated with Monte Carlo risk analysis integrated into the estimation process. Parameter inputs are expressed as ranges (from lowest, most likely, and most expected values), produce estimate ranges for important parameters such as schedule, effort, number of defects, using robust Monte Carlo simulation tools. Sizing software projectsSEER for software can support logic and physical sizing methods, traditional source lines of code (SLOC) and function points, ISO standard function size metrics such as IFPUG, technology-specific measurements such as such as RICEF components for SAP projects and ETL components for data warehousing projects, story points and use cases. Essentially, they are used in the model to further refine the estimate, including project constraints such as staffing limitations and schedule requirements. Feature-Based Sizing, Software SEER contains a different sizing method designed to make the process easier. Function-based sizing uses the main categories of IFPUG functions, broken down into simple functions such as a number of input screens, printed reports and menus. It allows us to organize entries in a coherent and simple language. Effective sizing involves mixing sizing methods within the same project and within a single WBS element. It uses different development methods such as Agile and Waterfall in the same model. This common measure provides the continuity necessary to obtain a common productivity measure. An estimate by comparison: definition of a software scope through certain project analogies and comparison with its own repository of previous projects in the historical SEER database or with ISBN projects. Analogy-based sizing – from completed projects and gives you the ability to break down the calculated size into new and pre-existing size categories. SEER will calculate the size based on the size of the selected projects and then enter that size into the work item. Third-party integrations Microsoft Project Integration: SEER for Software automatically creates a complete project plan from any SEER for estimation. Through a strong combination with Microsoft Project, the existing SEER can be converted for software estimation into a detailed, task-oriented project plan in Microsoft Project. Open API binding and COM interface: Galorath is a Microsoft Gold Partner and all SEER products are compatible with the Microsoft Office Suite. The API is well documented and available in a file-based or automation interface. Thanks to its open APIs and the COM (Component Object Model) interface, you can exportresults to a variety of third-party applications or export them to programs such as Microsoft Excel to create unique reports for your organization. Integration with risk estimation tools: SEER supports combinations with Oracle Primavera P6, Oracle Crystal Ball, and Palisade. Integration with the International Software Benchmarking Standards Group (ISBSG) Dataset: Optional integration with the ISBSG database gives you immediate access to an open source of thousands of software projects. ISBN data analyzes individual data points, aggregated data and compares project performance against industry data. Analysis and Reporting of Results Measurement Analysis and Benchmarking: Graphical estimates and trends are produced by benchmarking. Filtering project histories to include only the most relevant project. Project Monitoring and Control: Optional project monitoring and control features will identify projects that are not performing and help identify causes and course correct in a timely manner. Project progress (planned versus actual) can be described in four areas which are completion of activities, expenditures, growth, and discovery and removal of defects. Standard reporting and charting tools: Multiple standard reports and charts can be easily understood and data can be explained, including size, business and workforce distribution, technology assessment, risk analysis, etc. The graph is plotted against historical data, performs trade-off analysis within the model, compares and contrasts the solution. Create Custom Reports: The flexible export feature is used to create custom reports from SEER-generated inputs and outputs for the software. Independent Cross-Check and Verification: Optional capability for organizations that require self-determined monitoring. Collaboration and Workflow Enterprise Shared Database: A related database that stores estimates in a secure repository. Estimates can be maintained with revisions, locking, and version control. Grant access can also be shared with individuals or groups. Access controls, including read, write, and view permissions, and configuration of multiple databases. Configurable estimate attributes: Specific information can be added to each attribute in an estimate that tracks the organization's process. These are estimates using any combination of attributes, the data can be easily found using the specific attribute information provided and included. Pros and Cons SEER software has many benefits that can help improve the process and estimate projects more accurately. The benefits of SEER software include: Step-by-step and systematic methodologies Create credible estimates Improve estimates and accuracy Build projects from inception to completion Reduce time and effort Reduce dependence on manual estimating Help to make the decision with confidence Easily used and understood by both technicians and non-technical people, SEER software has the program which is step by step and systematic methodologies. With these features, it can help calculate and estimate projects step by step, so that no estimate can be overlooked and estimates can be calculated correctly. Correct methods are required to createaccurate estimates without giving erroneous values. With systematic SEER software, project managers can estimate credible projects based on the information provided. Information such as project type, industry, scope or any development techniques. He may believe that projects depend on how much or at least little information we have. From there, engineers can know the estimate in advance with the information provided and make an informed decision. Apart from this, SEER software can improve the accuracy and reliability of project estimation. This software includes the analysis of multiple and complex factors predicting real-world outcomes. Cost, schedule, effort, reliability and risk can be calculated. From there, key factors are identified so that projects and schedule can be estimated. From the analysis, SEER software will help identify factors that can affect the cost and effort of projects. The correctness of the project also needs to be predicted from time to time. The accuracy will always be updated depends on the in-depth knowledge bases of software development data and application projects. To improve accuracy, key factors must be identified to estimate projects easily and systematically, so that cost and schedule can be analyzed. Since SEER software has a step-by-step system, so this software can estimate projects from the initial stages of a project to the completion of the project by tracking the projects and correcting the process of projects. Therefore, this software can establish the realistic life cycle or schedule of projects as well as historical data for analysis. From there, project managers can analyze the cost accurately and the engineer can manage the cost, labor, schedule and risks of the entire project. With project management, performance can be monitored to ensure the project always remains on time and within budget. SEER software will provide the tracking and calculation method for the estimation technique, thus allowing managers to track the project through software. Additionally, a project manager can reduce the time and effort required to estimate a project if an appropriate method is used. A proper method can help estimate the project step by step and systematically without neglecting the values. Therefore, this can also avoid manual estimation, from here the time can be reduced to produce an accurate value in the shortest possible time. This can prevent excessive, inconsistent, or overly optimistic engagement. SEER software can help in making the wise decision with the planned successful project. This can help managers and engineers make the best decision with confidence. When estimating a project, many situations must be considered such as hidden risks, failures, financial problems. These can affect a project. With the information provided, the decision can be made to reduce risks, failures and increase profits. Additionally, SEER models are easy to use because both technical and non-technical people can understand how to use them and technical support is provided. each product license.DisadvantagesNo matter how many advantages software has, SEER software also has some disadvantages. One of the drawbacks is the lack of flexibility of algorithmic models when adapting to new circumstances. Methodologies and techniques are always changing due to rapid changes in business. Methodologies such as. ..