IndexHistory of SEER SoftwareTimelineVersion 1.0Subsequent VersionsCurrent VersionSEER Technical FeaturesFull Life Cycle Estimation:The Work Breakdown Structure:Sizing Software ProjectsThird Party IntegrationsResult Analysis and ReportingCollaboration and WorkflowAdvantages and DisadvantagesAdvantagesQualityCostThe Software SEER is a project management software application that is all about the algorithm. SEER software has invested approximately two and a half decades of research. This software is designed to estimate, plan and also monitor the required work related to your maintenance project or software development. SEEER, this word comes from the noun, which refers to the ability to predict the future, parametric algorithms, knowledge bases, simulation-based probability and historical precedents. These allow project managers, engineers and cost analysts to accurately estimate the cost of the project. Beyond that, it can help estimate risk and effort when a project begins. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get Original Essay This software helps the development to organize a better plan and also helps to control the costs, quality and also duration to complete the work and also the risks while carrying out the project. SEER software is produced and has numerous versions for estimation improvement. SEER software has many features that help the project manager estimate projects such as sizing, analyzing and producing a workflow. SEER software has many advantages that can help engineers and project managers estimate the project. This software offers many benefits such as accurately estimating projects, planning, and helping you make decisions with confidence. However, SEER software also has some disadvantages 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 terms of time and efficiency. History of Software SEERSEER Software is a project management software application designed specifically to estimate the resources required for any type of software development and maintenance project. SEER refers to the ability to look ahead into the future, it relies on parametric algorithms and knowledge bases to enable project managers, engineers and cost analysts to accurately estimate a project's cost schedule, risks and efforts before the project is started. History Timeline In 1966, the System Development Corporation model based on reversions was introduced. In 1980, Don Reifer and Dan Galorath's paper encouraged the construction of JPL's soft cost model. This model is a prime example of software estimation that enables automated and executed risk analysis. Soft Costing was made a commercial product by Reifer Consultants. In 1984 the Jensen model existed. The Jensen-inspired System-3 and other modeling systems such as Barry Boehm's COCOMO and Doty Associates' early work as direct and indirect contributors to the software set 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 produced 22,000 lines of code. SEER-SEM version 1.0 was released on 13 5.25" floppy disks and was an initial product on Windows version 2. However, designing SEER-SEM for Windows is risky since the operating system has not yet found itself as a competitor to the current dominant operating system, which is MS-DOSMicrosoft's acceptance of a Windows-based format proved useful, allowing SEER-SEM to offer a much more intuitive user interface that would otherwise have been available in MS-DOS. Galorath chose Windows due to its ability to provide a more graphical user environment, allowing for more robust management trade-offs and understanding than that initial release. Since 1988, SEER has experienced numerous updates, keeping pace with different technologies, adapting to better meet needs of the customer 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 of the model, addressing the reality of projects rather than simply driving software projects. Later releases From Rayleigh curve approximation, more knowledge bases and the latest research in science software. In 2003, new structures such as goal setting and also risk regulation were added. Both features worked as their names suggest, with risk analysis accepting changes to estimates and goal setting allowing projects to not just be estimated. SEER for Software version 6 was the first to agree on both input and output across many Microsoft products, such as Excel. Version 7 featured better handling of projects that perform beyond their optimal strength. The current SEER release for software version 7.3 is a large upgrade over the original application and could be included to support all phases of a project's lifecycle. The scope of the software has grown to over 200,000 lines of source code and has transformed from a simple means of making job estimates through parametric modeling into a system that reinforces those results with simulation-based probabilities and over 20,000 historical cases from from which to draw conclusions. the original SEER-SEM also branched into:SEER for Information Technology (SEER-IT) – Estimating the design and maintenance of infrastructure and service management projects.SEER for Hardware, Electronics, & Systems (SEER-H) –For aid in estimating life cycle costs of any type of hardware, electronics or system.SEER for Manufacturing (SEER-MFG) – To or estimate detailed manufacturing manufacturing costs, covering a wide range of manufacturing practices and procedures cutting-edge knowledge.SEER for Software – Including aerospace, financial, banking, retail and manufacturing giants. Users include Bank of America, Northrop Grumman, Boeing, Lockheed Martin, and the Atmospheric Administration and the U.S. Department of Defense. Technical Characteristics of SEERE Scope and Estimation Methodology Includes development of high-level system requirements. Examples such as coding and testing, application maintenance and support (also known as full lifecycle estimation). Full life cycle estimation: Maintenance can estimate growth, change, possible defects, and even costs for adaptive, preventative, and perfective. maintenance and improvements. For project estimates, the information needed is behavioral models, project histories, data and parametric models. All data is confidently estimated with available information. The work breakdown structure estimates the system into one element and breaks it down into logical modules and detailed components. The elements can be defined hierarchically in a way appropriate to the project, define the constraint level and define the summation points. Items can have different parameter settings, different sizes (feature points, source code lines, story points), and unique loading/personal profile. The breakdown structureof Work: Approximate order of magnitude (ROM) created using default values ​​that prevent the need for users to adjust parameters. Users can customize each parameter based on historical data from the organization's previous projects, environmental data and requirements. Integrated Monte Carlo risk analysis, risk analysis estimates integrated into the estimation process. Parameter inputs are expressed as ranges (from least, likely and most expected values), producing 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 lines of source code (SLOC) and function points, ISO standard feature sizing metrics such as IFPUG, Technology-specific metrics such as RICEF components for SAP projects and components ETL for data warehousing projects, story points, and use cases. Essentially, it is used within the model to further refine the estimate by including project constraints such as staffing limitations and scheduling requirements. Feature-Based Sizing, a SEER for Software contains a different sizing method designed to simplify the process. Feature-based sizing uses the main IFPUG feature categories, broken down into simple features such as a series of input screens, printed reports, and menus. It allows us to organize input into a coherent and direct language. Effective sizing is about mixing sizing methods within the same project and within a single WBS element. Use different development methods like Agile and Waterfall in the same model. This common measure provides the continuity necessary to obtain a common measure of productivity. An estimate by comparison: Defining the scope of the software through some project similarities and comparing it to your archive of past projects in the SEER historical database or ISBN projects. Analogy-based sizing: from completed projects and gives you the ability to allocate the calculated size into both new and pre-existing size categories. SEER will calculate the size based on the size of the selected projects, and then insert those dimensions into the work item. Third Party Integrations Microsoft Project Integration: SEER for Software automatically creates a complete project plan from any SEER for an estimate. Thanks to the solid combination with Microsoft Project, existing SEER can be converted for software estimating into a detailed, task-oriented project plan in Microsoft Project. Open API connection and COM interface: Galorath is a Microsoft Gold Partner and all SEER products are compatible with Microsoft Office Suite. The API is well documented and available in a file-based or automation interface. Thanks to its open API and Component Object Model (COM) interface, you can export results to a variety of third-party applications or export them to programs like 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 ISBSG (International Software Benchmarking Standards Group) dataset: Optional integration with the ISBSG database gives you instant access to open source thousands of software projects. ISBN data analyzes individual data points, aggregate data, and compares project performance against industry data. Analysis and reporting of results Metric analysis and benchmarking: estimates and trends in graphical formats are produced bybenchmarking. Filtering project history to include only the most relevant project. Project Monitoring and Control: Optional project monitoring and control features will identify which projects are not being executed and help identify causes and timely course correction. Project progress (planned versus actual) can be described in four areas which are task completion, expenses, growth, and defect discovery and removal. Standard reporting tools and charts: Various standard reports and charts can be easily understood and data can be explained, including size, task and work distribution, technology assessment, risk analysis and more. 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 the inputs and outputs generated by SEER for Software. Independent Cross-Checking and Verification: Optional functionality for organizations requiring self-determining oversight. Collaboration and Workflow Enterprise Shared Database: A related database that stores estimates in a secure repository. Estimates can be maintained with revisions, locks, and version control. Granting access can also share with individuals or groups. Access controls including read, write and view permissions and setting multiple databases. Configurable Estimate Attributes: Specific information can be added to each attribute in an estimate that is followed by the organization's process. This is for estimates using any combination of attributes, the data can be found easily using the specific attribute information provided and included.Advantages and DisadvantagesSEER software has many advantages that can help improve the process and estimate required projects more accurate.AdvantagesThe advantages of SEER software are as follows:Systematic and step-by-step methodologiesCreate credible estimatesImprove estimates and accuracyEstablish projects from inception to completionReduce time and effortReduce reliance on manual estimatingHelp make decision with confidenceUse easily and understand from a technical point of view and the non-technical peopleSEER software has the program that involves step-by-step and systematic methodologies. Thanks to these features, it can be useful to calculate and estimate projects step by step, so that no estimate can be overlooked and estimates can be calculated correctly. The correct methods are needed to create accurate estimates without providing incorrect values. With systematic SEER software, project managers can estimate projects that are credible based on the information provided. Information such as project type, industry, scope, or any development technique. It can estimate that projects depend on how much or how little information they have. From here, engineers can know the estimate in advance with the information provided and make an informed decision. Besides that, SEER software can improve the accuracy and reliability of project estimation. This software includes analysis of multiple and complex factors and predicts real-world outcomes. You can calculate cost, schedule, effort, reliability and risk. From here key factors are identified so projects and schedule can be estimated. From the analysis, SEER software will help identify factors that can influence the cost and effort of projects. The accuracy of the design must also be predicted from time to time. Accuracy will always comeupdated depends on the vast knowledge bases of software development data and application of projects. To improve accuracy, you need to identify key factors to estimate projects easily and systematically, so you can analyze costs and schedule. Since SEER software has a step-by-step system, this software can estimate projects from initial stages of a project to project completion by monitoring projects and correcting them during the projects process. Therefore, this software can establish the realistic life cycle or schedule of projects and historical data for analysis. From here, project managers can accurately analyze costs, and the engineer can manage the cost, labor, schedule, and risk of the entire project. With project management, you can monitor performance to ensure your project always stays on time and on budget. SEER software will provide the tracking and calculation method for the estimating technique, so that managers can track the project via software. Not only that, a project manager can reduce the time and effort to estimate a project if a proper method is used. A proper method can help to estimate the project step by step and systematically without careless values. Therefore, you can also avoid manual estimation and from here you can reduce the time to produce an accurate value in the shortest time possible. It can prevent excessive, inconsistent, or overly optimistic commitments from occurring. SEER software can help you make the decision wisely with the successful project planned. It can help managers and engineers make the best decision with confidence. While estimating a project, you need to consider many situations such as hidden risks, failures, financial problems. These can influence a project. With the information provided, you can make decisions to reduce risks, failures and increase profit. Besides that, SEER templates are easy to use because both technical and non-technical people can understand how to use them and technical support is provided for each product's license. Disadvantages No matter how many advantages a software has, SEER software also has some disadvantages. One of the disadvantages is the lack of flexibility of algorithmic models when adapting to new circumstances. Methodologies and techniques are always changing due to rapid business change. Methodologies such as development methodologies and tooling will change and, therefore, algorithmic models can quickly become obsolete. Beyond that, algorithmic models have strong collinearity between parameters and complex nonlinear relationships between outputs and contributing factors. SEER software must input 50 parameters to calculate projects and this will increase complexity and uncertainty. Comparing Using Manual Estimating and Software Estimating In some cases, the end result of the estimating software is not the result that investors or clients want to know. Therefore, using estimating software would cause some barriers and problems compared to manual estimating. Manual estimation is still widely practiced in many countries because it is the reliable traditional method. Software is then created to help appraisers. Therefore, in reality, both methods have their own characteristics and specialties to apply to different situations as some clients may feel that their situation is too special to be estimated. The following table shows the comparison between manual and software estimating in terms of time, quality and cost.ElementManual EstimationSoftware EstimationTime Takes Longer People need more time to complete the estimate because the ..